💡   I'm a 𝙂𝙤𝙤𝙜𝙡𝙚 𝘾𝙡𝙤𝙪𝙙 𝘾𝙚𝙧𝙩𝙞𝙛𝙞𝙚𝙙 𝙋𝙧𝙤𝙛𝙚𝙨𝙨𝙞𝙤𝙣𝙖𝙡 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧.
🎓  Graduated from Indiana University Bloomington with a Master’s Degree in Data Science.
📈  3+ years of hands-on working experience in building scalable data-pipeline for ingesting and analyzing large scale datasets.
🌱  I'm on track for learning more about Data Engineering, Systems Design, and Cloud Architecture.
✍️  In my free time, I go out to explore new places and play Tennis.
💬  Feel free to reach out to me for pro bono consulting and volunteering, or just for some interesting discussion.
✉️  You can shoot me an email at [email protected]! I'll try to respond as soon as I can.
📄  Please have a look at my Résumé for more details about me. I'm open to feedback and suggestions!

𝗪𝗛𝗔𝗧 𝗡𝗘𝗫𝗧?

‾‾‾‾‾‾‾‾‾
With the blend of industry experience along with technical skills I developed during my Master’s Degree, I am keen to develop products that impact on a large scale. 𝙄 𝙖𝙢 𝙘𝙪𝙧𝙧𝙚𝙣𝙩𝙡𝙮 𝙡𝙤𝙤𝙠𝙞𝙣𝙜 𝙛𝙤𝙧 𝙁𝙪𝙡𝙡-𝙏𝙞𝙢𝙚 𝙟𝙤𝙗 𝙤𝙥𝙥𝙤𝙧𝙩𝙪𝙣𝙞𝙩𝙞𝙚𝙨 𝙖𝙣𝙙 𝙄 𝙖𝙢 𝙞𝙣𝙩𝙚𝙧𝙚𝙨𝙩𝙚𝙙 𝙞𝙣 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧𝙞𝙣𝙜 𝙖𝙣𝙙 𝘿𝙖𝙩𝙖 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝙧𝙤𝙡𝙚𝙨 🎯

► Programming Languages: Python, R, PyTorch, Scala, PySpark, SQL, shell-scripting.
► Databases: MySQL, PostgreSQL, MongoDB (NoSQL), Cassandra, Amazon Redshift.
► Machine Learning: Classification, Regression, Clustering, Neural Networks, Ensemble Learning, Forecasting, Dimension Reduction, Predictive modeling, CNN, GAN.
► Libraries: Pandas, Numpy, Scikit-learn, NLTK, Requests, Matplotlib, tidyverse, ggplot2, dplyr, Tensorflow, Keras, Beautiful Soup.
► Framework/Tools: Apache Spark, Spark Streaming, Hadoop, HBase, Hive, Nifi, Apache Kafka, Apache Airflow, Tableau, Git, GitHub, Bash, MS Office, IntelliJ, Jupyter Notebooks, Flask, FASTAPI.
► DevOps Tools: Docker, Kubernetes.
► Cloud Technologies: Amazon Web Service (AWS), Google Cloud Platform (GCP).\

• What is Central Limit theorem (CLT)?
• Central Limit Theorem — A Real Life Case Study
• Decision tree Intuition