KRUSHNAKANT BANKAR

Data Scientist | AI/ML Engineer | NLP Specialist

Pune, IN.

About

Highly motivated Data Scientist with hands-on experience in Python, SQL, Machine Learning, NLP, and Data Analysis, specializing in building end-to-end ML pipelines and developing predictive models. Proven ability to leverage Generative AI tools and deployment frameworks to deliver actionable insights and drive innovation. Adept at problem-solving and teamwork, consistently enhancing system performance and reducing operational time by up to 40%.

Work

AceNurture Digital

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AI/ML Engineer

Pune, Maharashtra, India

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Summary

Currently spearheading the development of an AI/ML-powered recruitment platform, enhancing candidate experience and recruiter efficiency through advanced data science solutions.

Highlights

Engineered and deployed an AI-powered resume scoring system utilizing TF-IDF and cosine similarity, boosting job-role match accuracy by 30% and elevating overall resume quality.

Developed a comprehensive recruiter/admin dashboard with features like Boolean search and candidate filtering, which decreased candidate shortlisting time by 40%.

Achieved over 100 pilot signups for a functional 3-module system, integrated with AI for personalized suggestions within the recruitment platform.

Innomatics Research Labs

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Data Science and Gen AI

Pune, Maharashtra, India

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Summary

Contributed to advanced data science and Generative AI projects, focusing on predictive modeling and developing innovative AI applications.

Highlights

Developed a GenAI-based text generation tool leveraging OpenAI and Gemini APIs with LangChain integration, enhancing content creation capabilities.

Applied diverse machine learning techniques to real-world datasets, generating predictive models and actionable insights for strategic decision-making.

Executed comprehensive data analysis, feature engineering, and rigorous model evaluation, significantly improving the performance and reliability of AI applications.

Upsolve Solution

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Data Science Intern

Pune, Maharashtra, India

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Summary

Designed and implemented predictive models and performed extensive data preprocessing to optimize sales forecasting and improve AI model performance.

Highlights

Designed and developed predictive models utilizing regression techniques to enhance sales forecasting, improving model accuracy by 15%.

Conducted customer behavior analysis to inform predictive model development, leading to a 30% reduction in manual effort for sales forecasting.

Cleaned and preprocessed over 5,000 rows of AI test data using NLP techniques (tokenization, stopword removal, lemmatization), enhancing data readiness and downstream task performance.

Education

Pune University

Pune, Maharashtra, India
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PG Diploma Data Science and Artificial Intelligence

CD Jain College of Commerce Shrirampur (SPPU)

Shrirampur, Maharashtra, India
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BBA Computer Application

Languages

English

Hindi

Marathi

Certificates

Generative AI Masterclass (In Progress)

Pantech Solution

Data Analysis, Data Science Using Python

Ethans

Skills

Programming Languages & Tools

Python (NumPy, Pandas, Matplotlib, Seaborn, Sklearn, NLTK, SpaCy, Tensorflow), SQL, Excel, Power BI, Git, BeautifulSoup, Selenium.

Machine Learning & NLP

Regression, Classification, Clustering, Feature Engineering, Model Evaluation, Ensemble Methods, Text Preprocessing, Text Representation, Sentiment Analysis, Basics CNN, RNN, LSTM, Transformers, TF-IDF, Cosine Similarity, SVM, Random Forest, XGBoost.

Development & Generative AI Frameworks

Core Flask, Streamlit, LangChain, RAG, OpenAI/Gemini APIs, FAISS, GPT-4.

Soft Skills

Problem Solving, Professional Integrity, Oral and Written Communication, Teamwork.

Projects

RAG-Loan-QA-System

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Summary

Engineered a Retrieval-Augmented Generation (RAG) QA system for loan-related queries, leveraging LLMs and LangChain to deliver accurate, context-aware responses.

Recruitment Insights Using Python and Power BI

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Summary

Analyzed LinkedIn job market data using Python and Power BI to uncover key hiring trends and optimize recruitment strategies for HR leaders.

Sentiment Analysis on Amazon Product Reviews

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Summary

Developed a comprehensive sentiment analysis system for Amazon product reviews, leveraging NLP and machine learning to extract and visualize customer feedback.