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Rashtrapati Bhavan

Neelam Chowk Ajronda

About the Role
We’re looking for an AI-driven Research Analyst who thrives on uncovering complex information using both human reasoning and machine assistance. This role combines investigative research, legal analysis, and AI-prompt engineering to identify, structure, and interpret data across multiple sources — from court filings and public records to news archives and law-enforcement releases.
The ideal candidate enjoys reverse-engineering problems, building structured research pipelines, and using AI models or scripts to accelerate discovery, verification, and synthesis.

Key Responsibilities
Research and analyze real-world cases involving crime, law enforcement, or public records.
Use AI tools (e.g., ChatGPT, Gemini, Claude, or custom LLM scripts) to automate summarization, clustering, and keyword extraction.
Design optimized prompts and workflows for fact-finding, document analysis, and source cross-verification.
Build or maintain structured research datasets (Google Sheets, CSVs, JSONs, or Airtable formats).
Integrate open-source tools, APIs, or Python scripts for scraping, classification, or trend detection (no heavy coding required, but strong technical curiosity essential).
Identify storytelling potential in raw data through analytical and contextual reasoning.
Track ongoing developments in selected cases and provide concise, data-backed updates.
Collaborate with editors and producers to convert verified data into narrative-ready briefs.


Preferred Backgrounds
Experience or education in computer science, data analysis, AI, law, journalism, or criminology.
Proficiency in AI tools (ChatGPT, Gemini, Perplexity, Claude) and prompt-based task automation.
Basic to intermediate familiarity with Python, APIs, web scraping, or data structuring.
Strong research, verification, and analytical skills.
Excellent written English and the ability to produce structured, accurate briefs.
Interest in true-crime, investigative journalism, or legal systems.


Nice to Have
Experience working with LLMs for research or document processing.
Prior exposure to FOIA-style data retrieval or transparency-portal research.
Understanding of NLP, vector search, or database querying (advantage, not requirement).


Location
Faridabad (preferred). Candidates from Delhi NCR must be willing to commute.

To Apply
Send your resume and a short note on how you’ve used AI tools or code for research to jobs@naarivo.com


Naarivo Creations

AI-driven Data Analyst

I.I.T.Main Gate

Kalyan West

Job Description — AI Automations Engineer (Junior–Mid)
Role: AI Automations Engineer (Junior–Mid)
Location: Kalyan, Mumbai (on-site; field visits across Mumbai/Thane & Bengaluru)
Company: Solastaa Hair and Skin Private Limited
Office: Mohan Tribeca, Office No. 906–907, 9th Floor, Next to Mohan Altezza, Gandhare, Near K.M. Agrawal College, Kalyan (West) – 421301
Google Maps: https://g.co/kgs/289vsvz
Timings: 11:00 AM – 8:00 PM (Mon–Sat)
Contact: Shruti — +91 74004 38040


About Solastaa
Solastaa is a fast-growing premium beauty & grooming brand with multi-city stores and a strong membership base. We use premium products and technology (CRM: Zenoti) to deliver consistent, luxury experiences.
Why this role exists
We are investing in AI to scale growth and efficiency across Solastaa (and support the preschool when relevant). We need an owner who can scout AI tools, build quick automations, deploy voice/chat agents, integrate with Zenoti/WhatsApp, and track ROI quickly.
Key responsibilities
Scout new AI tools weekly (agents, voice, chat, RPA, analytics), run short pilots, and recommend what to adopt.
Build and maintain voice agents for missed calls: greet, capture intent, book callbacks, push leads to Zenoti/Sheets.
Build WhatsApp chatbots for FAQs, offers, membership renewals, service guidance, and rebooking nudges; design smooth handoff to human.
Create workflows with Zapier/Make/n8n; write small Python scripts for APIs/webhooks/JSON when needed.
Connect Zenoti, Google Sheets, WhatsApp Cloud API/Twilio, email, and calendars; keep data clean and tagged.
Build simple dashboards (Looker Studio/Sheets) for leads, calls, bookings, and reviews.
Maintain a single source of truth for services, prices, offers, policies, and FAQs; enable RAG-style answers.
Run A/B tests on prompts and flows; improve using real chat/call transcripts.
Publish a weekly performance report with insights and next experiments.
Train front desk teams; create “How-To” guides and Loom videos.
Follow security best practices for API keys, access, logging, and PII.

Outcomes and KPIs
Missed-call response time under 5 minutes via voice/WhatsApp agent.
Lead-to-booking conversion up by 15–25% in 90 days.
40–60 automation hours saved per store per month.
30–50% WhatsApp self-serve resolution rate.
Lower cost per contact; higher incremental bookings and review velocity.
Data hygiene: duplicates under 2%; over 95% records with correct store/service tags.

Day-to-day work
Ship and maintain voice agents, chatbots, and automations (Zapier/Make/n8n + Python).
Integrate with Zenoti (APIs/exports), Google Sheets, WhatsApp Cloud API/Twilio.
Build and update the FAQ/knowledge base from our menus, offers, and policies.
Run small experiments, measure results, and iterate fast.
Collaborate with marketing and front desk for scripts, offers, and review workflows.

Must-have skills
Python basics (requests, JSON, small scripts), APIs/Webhooks, GitHub.
Hands-on with Zapier/Make/n8n (or similar).
WhatsApp Business Platform (Cloud API) or Twilio experience, or strong willingness to learn.
LLM fundamentals (prompts, system messages, guardrails, basic retrieval/RAG).
Google Sheets/Looker Studio, GA4 basics, and UTM tagging.
Clear written English; basic Hindi/Marathi for prompts and replies.

Nice-to-have skills
Zenoti experience; Dialogflow/Voiceflow; LangChain/LlamaIndex; SQL; Docker basics.
Gradio/Streamlit for quick internal tools.
Experience in retail/beauty/wellness or education service flows.

Ideal profile
Early-career engineer/developer (0–3 years) who ships fast and documents well.
Degree: B.E./B.Tech/B.Sc (CS/IT) or equivalent skills with strong portfolio.
Passion for automations; can demo side projects.
Comfortable being on-site and running field tests with store teams.

Growth and culture
Direct visibility to founders, ownership of AI across stores and adjacent school ops.
Test–learn–scale mindset: ship fast, measure, and improve.

Tooling stack
No/Low-code: Zapier or Make or n8n
Messaging/Voice: WhatsApp Cloud API, Twilio
LLM/Agents: OpenAI/Anthropic with simple retrieval from GDrive/Sheets/Notion
Dashboards: Google Sheets + Looker Studio
Dev basics: Python, GitHub, Postman, JSON, webhooks
Nice-to-have: Dialogflow/Voiceflow, LangChain/LlamaIndex, Streamlit/Gradio

Example success metrics after 90 days
20% higher booking conversion from missed calls.
40–60 automation hours saved per store per month.
30–50% of WhatsApp queries resolved without human help.
More reviews per month, rating stable or better.



Solastaa Hair & Skin Private Limited

AI Automations Engineer

A C Guards

Mehboob ki Mehendi

Hey , we are looking for experienced Data analysis faculty with good communication skills and ability to teach our organisation gomathi computer and software training is located in Hyderabad old city shah ali banda , work timing can be discussed and salary will be allotted accordingly
interested candidates contact us at -
7093190823


 Gomathi Computer and Software Training

Trainer

Subramanya Nagar

Nandini Layout

We are looking for detail-oriented and efficient Data Annotation Executives (2D) to assist in preparing high-quality labeled datasets for AI and Machine Learning models. The role involves annotating 2D images and videos using specialized tools with accuracy and consistency.


Rv Groups

Data Annotator

Koramangala

Responsibilities

 Collect, clean, and analyze datasets.
 Develop reports and data visualizations.
 Identify trends and patterns in data.
 Collaborate on presentations and insights.

Requirements

 Enrolled in or graduate of a relevant program.
 Strong analytical skills and attention to detail.
 Familiarity with tools like Excel, SQL, or Python (preferred).
 Excellent communication and teamwork abilities.



Onetruweb Software Solutions Private Limited

Data Analyst Intern

Sonegaon

Ghat Road

Company Description

PSPR is a data-driven organization focused on delivering actionable insights in the social research landscape. We leverage cutting-edge analytics to help stakeholders understand voter behavior, election trends, and policy impacts. Our mission is to empower informed decision-making with robust data analysis.



Role Description

We are seeking a highly skilled Data Analyst to analyze and interpret political data across India. The ideal candidate will extract meaningful insights from electoral results, voter demographics, social trends, and survey data, providing actionable recommendations for strategic planning

Excel and Presentation knowledge.
Collect, clean, and manage datasets from multiple sources.
Analyze results and patterns at state, and national levels.
Conduct trend analysis, forecasting, and statistical modeling to derive insights.
Develop dashboards, visualizations, and reports for stakeholders.
Collaborate with strategists and researchers to provide data-driven recommendations.
Monitor and interpret real-time data.
Ensure data accuracy, integrity, and confidentiality.


Qualifications

Analytical Skills, Data Analytics, and Data Modeling skills
Proficiency in Statistics for data interpretation and analysis
Strong Communication skills for presenting findings and collaborating with team members
Experience with database management and data visualization tools
Familiarity with SQL, Python, R, or other statistical software is a plus
Detail-oriented with a focus on accuracy and data integrity
Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
Ability to work on-site in Nagpur



 Pspr

Data Analyst

Santoshi Mata Chowk

Shiva Bar

Responsibilities

Collect, clean, and analyze datasets.
 Develop reports and data visualizations.
 Identify trends and patterns in data.
 Collaborate on presentations and insights. 

Requirements

 Enrolled in or graduate of a relevant program.
 Strong analytical skills and attention to detail.
 Familiarity with tools like Excel, SQL, or Python (preferred).
 Excellent communication and teamwork abilities.


         Benefits

Stipend: ₹10000 - ₹20,000 (Performance-Based)
Real-world data analysis experience.
Certificate of Internship and Letter of Recommendation.
Build your portfolio with impactful projects.



Porur

Gnanapuram

Dwaraka Nagar

Role Overview:
We are hiring Data Science / AI & ML graduates who are passionate about applying their analytical and programming skills to financial market research and trading automation. You will work with our core quant and tech teams to design, test, and optimize AI-based trading strategies.
Key Responsibilities:Research and analyze market data (Gold, Indices, Commodities, Forex) using Python.
Build and test trading models using Machine Learning, Deep Learning, or Quantitative Logic.
Work on data cleaning, feature extraction, and backtesting frameworks.
Develop dashboards and performance trackers for live strategies.
Collaborate with developers to automate models for real-time execution.
Document findings, strategy results, and improvement ideas.

Preferred Qualifications:🎓 Education:
B.Tech / B.E. in Data Science, Artificial Intelligence, or Machine Learning.
Strong understanding of statistics, algorithms, and model evaluation.

💡 Skills:
Proficiency in Python, Pandas, NumPy, Matplotlib.
Knowledge of Machine Learning, Time-Series Analysis, or Reinforcement Learning.
Familiarity with APIs, SQL, or TradingView/Python backtesting is a plus.
Interest in finance, markets, or trading is highly desirable.
Who Can Apply:Final-year students or freshers (0–1 year experience).
Strong analytical thinkers eager to work on AI + Trading applications.
Candidates who want to build a long-term career in AI-based Trading, Quant Research, or FinTech.
What You’ll Get:Real-world exposure to financial data and algorithmic systems.
Hands-on mentorship in AI model building, backtesting, and automation.
Opportunity for pre-placement offer (PPO) based on performance.
Dynamic startup environment with fast growth opportunities.



Web Technologies India Private Limited

Data Science Intern / Fresher

Responsibilities

 Collect, clean, and analyze datasets.
 Develop reports and data visualizations.
 Identify trends and patterns in data.
 Collaborate on presentations and insights.

          Requirements

 Enrolled in or graduate of a relevant program.
 Strong analytical skills and attention to detail.
 Familiarity with tools like Excel, SQL, or Python (preferred).
 Excellent communication and teamwork abilities.




College Square

Burtolla

office timing - As per candidate ( work from Office )

Knowledge of data Analytic and AI is must .

working 6 days ( Mon  to Sat )


Prakash Bhalotia And Brothers

Business Intelligence and Analytics Manager

Responsibilities

 Collect, clean, and analyze datasets.
 Develop reports and data visualizations.
 Identify trends and patterns in data.
 Collaborate on presentations and insights.
Requirements

 Enrolled in or graduate of a relevant program.
 Strong analytical skills and attention to detail.
 Familiarity with tools like Excel, SQL, or Python (preferred).
 Excellent communication and teamwork abilities.
Benefits

Stipend: ₹7,500 - ₹15,000 (Performance-Based)
Real-world data analysis experience.
Certificate of Internship and Letter of Recommendation.
Build your portfolio with impactful projects.


Dolavli West

Responsibilities:

Build and fine-tune AI models.

Integrate and optimize NLP frameworks (e.g., LangChain, OpenAI GPT, HuggingFace) for 2-way communication between user and avatar.

Develop and manage prompt engineering logic for multilingual voice & text conversations.

Design knowledge ingestion pipelines to feed AI with datasets and digitized books.

Build accuracy benchmarking tools using top data cross-verification.

Collaborate with frontend, backend, and avatar teams to ensure seamless voice/text response sync.

Continuously improve prediction accuracy through feedback loops, user queries, and new data integration.

🧠 Required Skills:

Strong experience with Python, TensorFlow/PyTorch, and AI model building

Proficiency in NLP frameworks (e.g., OpenAI API, LangChain, Rasa, Hugging Face)

Familiarity with voice-to-text (Whisper) and text-to-speech (e.g., ElevenLabs, Google TTS)

Experience working with structured & unstructured data ingestion (CSV, PDFs, books, APIs)

Understanding concepts or willingness to learn quickly

Strong prompt engineering & cus
tom model tuning experience


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