Shubham G.

Data Scientist

Pune, Maharashtra, India7 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over 5 years of experience in AI/ML domain.
Expert in building effective machine learning models.
Proficient in Generative AI and NLP techniques.

Stackforce AI infers this person is a Fintech-focused Machine Learning Engineer with expertise in Generative AI.

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Skills

Core Skills

Generative AiMachine LearningNlp

Other Skills

Retrieval-Augmented Generation (RAG)Postman APIMicrosoft SQL ServerPythonLangchainLLama2GPT-3.5-turboStreamlitAzure App ServicesNumpyPandasSQLMatplotlibSeabornXGBoost

About

Experienced ML and Gen Ai Engineer with a proven track record of over 5 years in AI/ML Domain. Demonstrated ability to build effective machine learning models by staying up-to-date of the latest trends and employing innovative techniques. Skilled in decision-making and problem-solving to deliver impactful solutions. Skills-: 1. Programming skills-: Python, SQL, Data Analysis, Statistical Analysis, VS, Jupyter Notebook, NLP, Flask, Streamlit 2. Generative Ai-: AI Agent, RAG, Fine-Tuning, Prompt Engineering, NLP, Deep Learning, RNN, LSTM, BiRNN, BiLSTM, GRU 3. Machine learning Algorithm-: Linear Regression, Logistic Regression, Decision Tree, K- means Clustering, Random Forest, SVM, XGBoost 4. ML/AI Library-: Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, NLTK, openAi 5. Azure Cloud Services-: Azure Auto ML, Azure Designer, Azure Open AI, Azure App Services.

Experience

7 yrs 5 mos

Total Experience

2 yrs 3 mos

Average Tenure

7 mos

Current Experience

Fractal

Sr. Data Scientist

Oct 2025 – Present · 7 mos · Pune District, Maharashtra, India · Hybrid

Generative AIRetrieval-Augmented Generation (RAG)

Ntt data

3 roles

AI Senior Engineer

Mar 2025 – Oct 2025 · 7 mos

Digital Engineering Senior Engineer-IC

Nov 2024 – Mar 2025 · 4 mos

Machine LearningGenerative AI

AI Senior Engineer

Nov 2024 – Mar 2025 · 4 mos

Accenture

3 roles

ML Engineering Sr. Analyst

Promoted

Jan 2023 – Nov 2024 · 1 yr 10 mos

1. Chatbot for Financial Document Summarization Project
Description: Developed a RAG-based chatbot to summarize financial documents,
leveraging NLP, Langchain, and LLama2 for model evaluation and text processing.
Details:Developed a chatbot to summarize financial reports using NLP and Langchain
for text processing, RAG technique for accurate responses, and GPT-3.5-turbo and
LLama2 for performance evaluation. Designed and deployed the interface with Streamlit
on Azure App Services.
Technologies used: Python, NLP, Langchain, LLama2, GPT-3.5-turbo, Streamlit, Azure
App Services.
2. Propensity Model for Credit Card Sale:
Description : Predict the probability of a customer buying a credit card based on
historical behavior, financial, and demographic data
Details: Conducted EDA using SQL and Python (Pandas, Numpy) to analyze customer
clickstream, financial, and demographic data for pattern discovery. Implemented ML
models, including XGBoost and Random Forest, to identify the best algorithm for
predicting customer propensity to buy credit cards.
Technologies used: Python, Numpy, Pandas, SQL, Matplotlib, Seaborn, XGBoost and
RandomForest, Azure, Flask.

Postman APIMicrosoft SQL ServerMachine Learning

Data Engineering Sr Analyst

Jul 2022 – Nov 2024 · 2 yrs 4 mos

PySpark

Application Development Senior Analyst

Feb 2022 – Nov 2024 · 2 yrs 9 mos

Tata consultancy services

3 roles

Risk and operational analyst

Promoted

Dec 2019 – Feb 2022 · 2 yrs 2 mos

Insight/Alert Generation:
Conducted EDA utilizing time-series data from Cognite Extractor.
2018/12 – 2022/01
Pune, India
Developed a Linear Regression machine learning model achieving high accuracy.
Enhanced model performance through hyperparameter tuning and implemented a
cleansing script to transform unstructured data.
Designed the model to forecast data points from time-series data and identify
breaches of predefined thresholds. Generated insights and alerts upon comparison
with threshold values.
Established an API using Flask and deployed it as an App service on Cognite UI for
seamless integration and accessibility.