Bineet Kumar Gupta

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Bineet Kumar Gupta

My Skills

Technologies I'm proficient in

Data Science

Pandas NumPy SQL Tableau Power BI Excel

AI/ML

Python TensorFlow PyTorch LangChain NLP & GenAI Scikit-learn

Cloud & DevOps

AWS (EC2, S3) GCP (Vertex AI) Docker GitHub Actions MLflow FastAPI

My Experience

My professional journey and accomplishments

AI/ML Engineer

Colca.ai

Aug 2025 – Present

  • Improved lead conversion rates by 45% and qualification accuracy by 60% through AI-driven lead scoring.
  • Reduced manual operational effort by 80% by automating end-to-end lead processing and enrichment.
  • Reduced model deployment time by 40% through architecting scalable CI/CD pipelines.

AI/ML Engineer

Nimesa

Jan 2025 – July 2025

  • Designed automation pipelines using n8n and Make, integrating Google Gemini to automate 70% of manual tasks.
  • Built a RAG chatbot using LangChain and Vector Databases for structure internal document retrieval.
  • Deployed chatbot architecture on AWS using Docker-based services running on EC2.

ML Engineer

Freelance - Remote

July 2022 – July 2023

  • Developed sales and demand forecasting models using 2+ years of daily POS data, implementing rigorous data quality checks and seasonal decomposition to optimize procurement planning.
  • Engineered lag-based and calendar features (holidays, weekends) for ARIMA and Tree-based regression models, achieving a 10–15% improvement in MAE over naive baselines.
  • Automated weekly and monthly reporting by replacing manual Excel workflows with structured dashboards, enabling stakeholders to make consistent, data-driven inventory decisions.

My Internships

My professional internship experience

Data Science Intern

Sri Shankara Cancer Hospital

July 2024 - Aug 2024

  • Created and cleaned 5,000+ records merging clinical and survey data.
  • Analyzed correlations between tobacco use and cancer incidence across 10+ panchayats.
  • Provided insights on cancer prevalence among tobacco users, impacting 1,000+ patients’ data analysis.

Featured Projects

View Details →

AI-Powered Lead Qualification

Improved lead qualification accuracy by 60% and reduced outreach effort by 80%.

LangChain Vertex AI PostgreSQL Docker
View Case Study →

Text Summarization App

Fine-tuned BART-large model achieving ROUGE-Lsum 49.86.

Transformers PyTorch Flask Docker
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AQI Prediction & Forecasting

Predicted AQI with 87% accuracy using random forest and XGBoost.

XGBoost LSTM Streamlit Pandas
View Case Study →

Laptop Price Prediction

Python TensorFlow CNN
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Sentiment Analysis

Python NLTK Transformers
View Case Study →

Employee Attrition Prediction

Python Pandas XGBoost Seaborn
View Case Study →

Credit Card Dashboard

Power BI DAX Data Modeling Excel
View Case Study →

SQL Querying using Natural Language

LangChain OpenAI GPT MySQL Streamlit

My Education

Master of Data Science and Analytics

Jain University

2023 – 2025

Coursework: MLOps, Deep Learning, Big Data Analytics, Advanced Data Visualization

Bachelor of Statistics

St. Xavier’s College

2019 – 2022

Coursework: Probability Theory, Statistical Inference, Regression, Time Series Analysis

My Certifications

Data Visualization with Power BI

Udemy

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Python for Data Science and Machine Learning Bootcamp

Udemy

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My SQL basics

Great Learning

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Data Science Fundamentals

Cognitive Class

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Machine Learning Operations

Coursera

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Apache Spark - An Intro in Detail

Coursera

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