GEN Ai
PARAG HEMANT SONAR
Generative AI Engineer
Pune,MH
Summary
As Data Scientist 5+ years of experience, familiar with Data Scraping, Data Crawling, Predictive Modeling, Cleaning & Organizing Data ranging for Business Use. My Interest Includes working on Projects Offering Learning and Understanding in the fields of Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Time Series Analysis, Sentiment Analysis, Big Data Analytics and Data Visualisation.
Overview
7
7
years of professional experience
6
6
Certifications
3
3
Languages
Work History
Senior Software Development Engineer - AI & ML
Optimum Solutions
06.2024 - 06.2025
- Designed and Deployed Retrieval Augmented
- Work on Segmentation: Used Transaction Level and Demographic Data to Build Custom Customer Profiles. An Ensemble of K-means and Business rules were Applied to Build the Segments using Python.
- Fraud Detection Analytics: Identify Fraudulent Transaction Metrics by Building a Fraud Detection Model using Classification Models. Build an ANN Based Model for Predicting the Declined Transaction.
- Project: LLM Based Intelligent Fraud Detection System.
- Description: Built a Fraud detection pipeline integrating anomaly Detection and LLM powered explainability using RAG. Enabled simulation of new fraud patterns and real time alerts with interpretable justifications.
- Tools: Python, GPT – 4, FAISS, Pyspark, Langchain, Streamlit, MongoDB
Data Scientist – Product Development
Grihum Housing Finance
03.2023 - 07.2023
- Company Overview: https://grihumhousing.com/
- Identify Valuable Data Sources and Automate Operational processes using Data Analytics & Machine Learning Techniques.
- Used SQL Query and Power Query for End-to-End Product Sales Data Pipeline. It Helps for Analyze Large Amounts of Banking Product Information using Python, R - Programme to Discover Trend Analysis and Patterns Recognition.
- Build Predictive Models and Machine-Learning Algorithms.
- Created Data Visualizations and Data Crawling tool like Python and R Programming and for Visualization using Power - Bi and presented it Technology & Production Team.
Analytics Manager – Data Science
PNG Jewellers
08.2022 - 04.2023
- Company Overview: https://www.pngjewellers.com/
- Implemented Automated Data reduction and evaluation with Map Reduce and Hadoop to reduce the process from eight (8) weeks to eight (8) hours.
- Created Power - BI Dashboard for Bridging the Gap Between Technology and the Retail Business Using Data Analytics through Deliver Data-Driven Recommendations and Reports to Executives and Directors.
- Developed and Deploy Advanced Statistical Models, Predictive Models & Learning Methods (Random Forrest Method, Decision Tree Method, SVM, NLP, Gradient Boosting, SupervisedUnsupervised Learning, Clustering, Classification and Regression Modelling).
Data Analyst – Product Development
Reality Premedia Services
11.2021 - 06.2022
- Company Overview: https://www.realitypremedia.com/
- Developed and Maintain End to End Database Using SQL Query and Data System in Reorganise and Readable format for Client like (PWC, Deloitte).
- Use Cluster analysis And Sentimental Analysis for Online Reviews for Quality Check with Product and Services.
- Use Statistical and Programming Tools like (SPSS, STATA, R - Programme, Excel, SQL, Python, and Power - Bi, Hadoop).
- Using Apache Hadoop creating investment Models and Trading algorithms.
- Worked on NLP Problem Such as Sentiment Analysis, Named Entity Recognition and Key Phrase Extraction (Text Analytics), Money Laundering, Nonparametric Statistical Model, RNN, Chatbot.
- Segmentation: Used transaction level and demographic data to build Custom Customer profiles. An ensemble of K-means and Business rules applied to build the segments using python. These are used by teams to understand shifts in households behaviour over time and better target marketing and advertising of products to the correct Consumer profile.
Data Analyst
Innoplexus
03.2019 - 05.2021
- Company Overview: https://www.innoplexus.com/
- Saved around 70% resource time from Planning and Execution.
- Saved around 80% resource time using Data Visualization tools like Power - Bi, MS - Excel, Python, R Programming, Hadoop in Pharma Domain for Data Forecasting.
- Worked to Design an Advanced Neural Network based Model that can Predict the Probability of Success of Clinical trials with Precision of 85%.
- Increased Data Scraping Capabilities & Data Quality by 4X.
- Raised Code Quality through Data reviews that helps to reduce development problems by 60%.
- Developed an Internal Web - Based Solution Database, Bringing team resolution rates from 60% to 90% in 3 Months.
- Created the Power - BI Dashboard for Client like Commerzbank Group, Pfizer, Ranbaxy. Used Python and SQL for Time Series Analysis and Cluster Analysis.
- Build and Maintain Database Pipeline of Heart Rate Data and SQL Queries to track the operational Productivity. It hel Patient Health Record for Sensor Detection Model.
Associate Data Analyst
Innoplexus
07.2018 - 03.2019
- Company Overview: https://www.innoplexus.com/
- Help clients to make decisions based on facts & data driven solutions using AI/ML Service offered are drug discovery, clinical trails predictions, biomarkers, sentiment analysis etc.
- Initiated the implementation of Scrum Methodology, resulting in 40% increase in Quality and Productivity.
- Perform Pharma Clinical Trials Data collection and a variety of Statistical Analysis using R - Programming, SQL, Python and Tableau, Power - Bi.
- Develop and Deliver Customized Solution for the biggest banks and Finance Companies in more than 6 countries.
- Worked Closely with a team of Data Engineers and Data Scientist to improve the efficiency Clinical Trials Prediction Engine by 67%.
- On Daily basis 30+ bugs were fixed.
- Used Microsoft Azure Health Data Services for Patient Heart Rate Data for Sensor Detection in Product Development using Azure Databricks.
Technical Apprentice
Innoplexus
02.2018 - 07.2018
- Company Overview: https://www.innoplexus.com/
- Help clients to make decisions based on facts & data driven solutions using AI/ML Service offered are drug discovery, clinical trails predictions, biomarkers, sentiment analysis etc.
- Performed Data Crawling and Coding for 2 Projects.
- Maintain 99.5% Quality Level in Internship Period.
- Developed and Maintained 30+ Financial Models for Financial Institution.
Education
Master of Science - Economics
Gokhale Institute of Politics and Economics
01.2017
Bachelor of Commerce - Costing
Symbiosis International University
01.2015
Skills
Database Management: SQL, Azure Cosmos DB, NoSQL
Certification
Financial Engineering and Risk Management Part 1, Columbia University via Coursera, 2020
Accomplishments
- Data Scraping Framework
- Developed Stock Market Data Scraping Model. Developed Web Crawler with Team.
MY TIME
- A: Design and Maintain Data System
- B: Data Modelling, Data Pipeline Flow etc.
- C: Fixes - Bugs/Coding issues in Real Time
- D: Business/Internal Requirements
- E: Design and Developed of Statistical and Predictive Models.
- F: Team Management
INDUSTRY EXPERTISE
- LEADERSHIP
- PROBLEM SOLVING
- SELF CONFIDENCE
- PLANNING
- TIME MANAGEMENT
- NETWORKING
NLP & LLM Models
LLaMa, BLOOM, LaMDA, BERT, PaLM, GPT, DALL-E
AIML and Big Data
AWS SageMaker, Google Colab, Azure Cognitive Services, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR
Data Science Toolkit
TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy
Additional Information
ABC
Software
Timeline
Senior Software Development Engineer - AI & ML
Optimum Solutions
06.2024 - 06.2025
Data Scientist – Product Development
Grihum Housing Finance
03.2023 - 07.2023
Analytics Manager – Data Science
PNG Jewellers
08.2022 - 04.2023
Data Analyst – Product Development
Reality Premedia Services
11.2021 - 06.2022
Data Analyst
Innoplexus
03.2019 - 05.2021
Associate Data Analyst
Innoplexus
07.2018 - 03.2019
Technical Apprentice
Innoplexus
02.2018 - 07.2018
Bachelor of Commerce - Costing
Symbiosis International University
Master of Science - Economics
Gokhale Institute of Politics and Economics
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