About

Harsha Neekhra is a highly skilled data scientist with a strong background in machine learning, statistics, and data science. With 4 years of experience, Harsha is currently working as a Data Scientist III at Walmart. He has a deep understanding of Python and SQL and has experience in supervised and unsupervised ML techniques including Classification, Forecasting, Clustering using techniques such as Neural Networks, Time Series Analysis, Decision Trees, K-Means. Harsha has also worked on visualization tools like Tableau, PowerBI, and cloud platforms like Databricks (Microsoft Azure). He is interested in data science, analytics, A/B testing, and MLOps. Harsha has international working experience in London for 1 year and is excited about working with diverse cultural workforces. In his previous role, Harsha worked as a Data Scientist at Rolls Royce. He was part of the R2DL team in India, working on problems involving time series forecasting, survival analysis, and regression analysis. During his time in London, he contributed towards Rolls Royce's Digital First Strategy by building a neural network-based image classifier that could predict the angle of a contract page and used OpenCV to correct the angle if needed before passing it to the OCR library called Tesseract. His model aided in creating the digital version of contracts and established ground truth for prices to be paid to suppliers. Harsha holds a Master of Technology in Information Technology from IIIT Bangalore and an Engineer's Degree in Computer Science from Bhilai Institute of Technology. He has a strong tech stack, including Data Scientist, Research Scientist, Python, SQL, ML, Computer Vision, Databricks, Neural Networks, Azure, OpenCV, MySQL, AI, Image Processing, Data Engineering, Big Data, ETL, and Web. With 4.53 years of relevant experience, Harsha is a talented data scientist with a passion for solving complex problems using data-driven approaches. He is a valuable asset to any team and is always looking for new challenges to tackle.