I am an accomplished Data Scientist and Python Developer with over 8 years of hands-on experience in the fields of machine learning, deep learning, natural language processing, and web development. My career has been marked by a commitment to driving impactful projects from inception to implementation, along with leading teams and applying advanced technologies to solve complex problems. With a passion for continuous learning and a proven track record of successful project delivery, I bring a blend of technical expertise, strategic thinking, and leadership skills to the table.
Professional Expertise:
- Data Science and Machine Learning: Proficient in a wide range of machine learning algorithms including Linear Regression, Logistic Regression, Random Forest, SVM, and more. Skilled in model ensembling and building recommendation systems using techniques such as Cosine Similarity Matrix.
- Natural Language Processing (NLP): Experienced in applying NLP techniques such as Part of Speech tagging, Entity Extraction, Word Embedding, TF-IDF, Word2Vec, GLOVE, and more. Built NLP-powered applications including chatbots and sentiment analysis tools.
- Deep Learning: Familiar with deep learning frameworks such as Keras and TensorFlow. Developed models for various tasks including image recognition and language processing.
- Web Development: Proficient in building web applications using Python Django, HTML, CSS, JavaScript, and related technologies. Successfully deployed applications using Nginx, Apache, Supervisor, and Gunicorn.
- Automation and Scheduling: Skilled in using Apache Airflow to automate data ingestion and processing pipelines, enhancing operational efficiency.
- Team Leadership: Managed teams ranging from 4 to 8 members, providing guidance, task allocation, and mentoring to achieve project goals.
- Project Management: Experienced in coordinating with clients and stakeholders, gathering requirements, proposing solutions, and managing client expectations. Proven ability to lead end-to-end product development cycles.
- Web Scraping and Data Extraction: Proficient in web scraping techniques using Python packages like Requests, Selenium, BeautifulSoup, and LXML. Extracted structured data from both system-generated and scanned PDFs using various tools.
- API Development: Developed APIs using Python frameworks including Django Rest Framework, Flask, and Fast API.
- DevOps and Deployment: Skilled in building CI/CD pipelines using GitLab, Docker images, and containers. Deployed applications using technologies like Nginx, Apache, Supervisorctl, and Gunicorn.
- Database Management: Design, implementation, and management of relational databases. Proficient in MySQL, PostgreSQL, MSSQL.
Skills Summary:
- Statistical Tools: R, Python, Spark MLLib, Statistica, SPSS, SAS
- Deep Learning Tools: Keras, TensorFlow
- Big Data Tools: Hadoop, Scala, Spark, Hive
- Visualization Tools: Tibco Spotfire, Tableau, D3 Js
- Web Technologies: HTML, CSS, JavaScript, Ajax, JQuery
- Database: Postgres, MySQL, MSSQL
- Web Deployment: Nginx, Apache, Supervisor, Gunicorn, Django, Flask, Fast API
Paper Published: Presented a SAS Poster at Orlando, Florida in 2013, showcasing a GIS approach for the Retail Industry using Thiessen Polygons to determine influential areas and nearest competitors.