Professional Achievements


About Me

Passionate Data Scientist experienced in the field of data science, analytics, and AI. My expertise spans various domains, including Python, Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision. I excel in the entire model development life cycle, from data preprocessing and exploratory data analysis to model development, deployment, and evaluation.

My journey includes working on diverse projects in data science, statistical modeling, and analytics. I have a strong track record of achievements in the following areas:


Junior Data Scientist, Indium Software - November 2021 – Present | Bangalore

Associate Intern, Splashgain Technology Solutions - December 2020 – July 2021 | Pune


Python, Data Preprocessing, Data Integration, Data Cleaning, Exploratory Data Analysis, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Git, GitHub, Jupyter Notebook, Google Colab, Visual Studio Code (VSCode)


Healthcare/Insurance Data Extraction Pipeline (Client: Leading Healthcare/Insurance Company)

  • Tools Used: Pandas, NumPy, TensorFlow, Transformers, spaCy, Detectron2, OpenCV, Git, GitHub, pytest, Camelot, Tabula, LabelMe.

  • Description: Developed models based on Keras CNN and Huggingface ViT Transformer for classifying various table types and accurately identifying border types. Custom models for document categorization. Contribution to NLP model using Spacy to extract specific elements from drug names. Developed automated pipeline for processing 50+ templates in healthcare/insurance domain.

Business-to-Business Networking Enhancement (Client: Global Business Networking Company)

  • Tools Used: Pandas, Modin, Scikit-Learn, TfidfVectorizer, Word2Vec.

  • Description: Performed data preprocessing and EDA to extract meaningful insights. Developed recommendation models utilizing TfidfVectorizer, Word2Vec, KNN, vectorization techniques, and cosine similarity.

Technical Review of Book (BPB Publications) (Book going to publish soon)


  • In my role as a Technical Reviewer at BPB Publications, I am actively involved in collaborating with authors to ensure the technical accuracy and quality of upcoming books.
  • enhancing the content, providing valuable insights, and ensuring that the technical aspects align with industry best practices. This includes review and feedback to maintain the integrity and excellence of technical publications. My expertise in data science, machine learning, and related fields allows me to contribute effectively, ensuring that readers receive accurate and up-to-date information.

Data Integration and Enhancement Project (Client: Higher Education Institutions and Colleges)

  • Tools Used: Python, Pandas, Microsoft Excel, Google Sheets

  • Description: Performed data pre-processing and cleaning across different data sources to make them suitable for the product's template format. Developed Python scripts to handle common data source issues. Collaborated with multiple domestic and international clients.