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
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.
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.
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.
Languages
English
Hindi
Marathi
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.