Data Science Enthusiast | Applied Data Science & Analytics Student | Passionate about ML, AI, Data Engineering

I'm currently pursuing an M.Sc. in Applied Data Science and Analytics at SRH Hochschule Heidelberg, where I am honing my skills in data science, machine learning, and big data. With a solid foundation in programming, data engineering, and analytics, I'm passionate about creating data-driven solutions that provide actionable insights.

• Programming Languages Python, SQL, R
• Data Science & Analytics Machine Learning (ML), NLP, Neural Networks, Generative AI, Data Mining, Predictive Analytics, Regression, Classification, Clustering
• Data Engineering ETL, Data Pipelines, Hadoop, Spark, Data Scraping, HDFS, BigQuery, MySQL, SQLite
• Cloud Technologies Google Cloud Platform (GCP), Microsoft Azure
• Visualization & Reporting Power BI, Tableau, SAS Visual Analytics, Excel
• Libraries & Frameworks Pandas, Scikit-learn, TensorFlow, PyTorch, Scrapy, NLTK, Spacy
• Tools & Technologies Git, Docker, Google Cloud SDK, API Integration, MS Office (Excel, Word, PowerPoint)
• Soft Skills Leadership, Team Collaboration, Communication, Agile Methodology, Multi-tasking

• German Biography Generator Developed a summarization tool using a large language model (LLM) to generate concise German biographies from various document formats (Word, CSV, PDF). Focused on coherence and exception handling. Tech Stack: NumPy, Pandas, Flask, API, NLP

• Hush Hush Recruiter Candidate Selection Led a project to streamline candidate selection by extracting GitHub data via APIs, applying K-means clustering for filtering, and automating candidate communication through emails. Tech Stack: Scikit-learn, NumPy, Pandas, SQLite, Vercel

• Data Pipeline Project Constructed a data pipeline integrating data fetching, processing, and storage in Google BigQuery, with visualizations in Tableau. Docker and GCP SDK were utilized for seamless setup and portability. Tech Stack: Docker, MySQL, Google BigQuery, Tableau, Google Cloud SDK

• Integrated Data Pipeline: Hadoop, Scraping, DB, Testing Developed a data scraping solution for an anime-related website, orchestrated scalable Hadoop infrastructure, and handled data analysis using HDFS, MySQL, and SQLite. Tech Stack: Docker, Hadoop, PySpark, Scrapy, MySQL, GCP

• Chatbot using RAG (Retrieval-Augmented Generation) Built a chatbot using the LLAMA3 RAG model to assist students in answering queries by orchestrating multiple modules.

• Prime Video Data Analysis with Power BI Designed an interactive Power BI dashboard to analyze Prime Video content, offering insights for production strategies and enhancing audience engagement. Tech Stack: Power BI, Data Profiling, Data Cleaning

• Tech Mahindra, Bengaluru, India

Automation Testing (Mar 2022 – June 2023) Automated 7+ processes using Perl and Python, improving workflow efficiency by 18%. Optimized database queries, contributing to faster data retrieval times. Maintained dashboards for real-time tracking and reporting. Coordinated with project managers to meet development timelines and reduce manual effort by 40%.

Associate Software Engineer (Aug 2021 – Feb 2022) Resolved 30+ software bugs, improving system performance and reliability. Executed 40+ test scripts, achieving a 95% defect resolution success rate.

• M.Sc. in Applied Data Science & Analytics SRH Hochschule Heidelberg (Oct 2023 – Present) Focus on Data Analytics, Data Mining, Big Data, SQL, Python, R

• Post Graduate Program in Data Science Purdue University (Aug 2022 – Mar 2023) ML, Power BI, Python, R

Awards:

• “Pat on Back” Award at Tech Mahindra (2022)
• “Best Team Award” at Tech Mahindra (2022)

Post Graduate Program in Data Science AZ-900: Microsoft Azure Fundamentals SQL - MySQL for Data Analytics Tableau Desktop 10 & SAS Certification

• LinkedIn: https://www.linkedin.com/in/rakesh-hs/
• Email: [email protected]