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BITS Pilani | Computer Science | Data Science | Mathematics | AI | ML | Data Mining | Information Retrieval
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BITS Pilani
Data Scientist
June 16, 2026 – Present
Leetcode-Submissions
March 1, 2023 – March 2, 2023
Collection of solutions to selected LeetCode problems solved by Anshuman Pati
View ProjectBeijing-Air-Pollution-Prediction
July 15, 2020 – July 16, 2020
Air Pollution Prediction of Beijing using various Machine Learning Algorithms and Neural Network Architectures and a comparative analysis between these methods.
View ProjectPolitiko
February 17, 2020 – February 17, 2020
A tf-idf based search engine for searching from about 75 speeches of Prime Minister Narendra Modi. The main purpose of this project is to understand how vector space based retrieval models work. The search engine caters to the need of journalists and politicians to seek the Prime Minister's speeches and to validate if the issues have already been addressed by the Prime Minister or not.
View ProjectAI-Project---Maze-Solver
October 31, 2019 – November 19, 2019
AI-Project---Maze-Solver — GitHub repository
View ProjectData-Mining-Clustering
April 8, 2019 – April 8, 2019
The goal of this codebase is to implement K-Means algorithm and also to construct the phylogenetic tree(dendrogram) of the amino acids dataset using Agglomerative(bottom-up) and Divisive(top-down) hierarchical clustering. For Agglomerative clustering, we use at least three linkages from single, complete, average, ward, centroid etc. What we achieve: ● Compare Agglomerative and Divisive method on the dataset and plot their phylogenetic trees (dendrograms). ● Cluster them using K-Means algorithm. (Chosen K = 5 and experimented with multiple runs with different mean points). ● After obtaining the clusters from K-Means, we compare them with clusters produced by the hierarchical clustering techniques(for all the linkages chosen) and highlight the differences for the particular K value.
View ProjectAssociation-Rule-Mining
April 8, 2019 – April 8, 2019
The goal of this repository is to generate frequent itemsets and interesting association rules using Apriori and FP-growth algorithm . We experiment with different values of support and confidence to generate frequent itemsets and association rules. We also identify the maximal frequent itemsets and closed frequent itemsets. The work has been done on "groceries" dataset.
View ProjectChatbot
December 29, 2017 – February 16, 2019
A chatbot for registering all forms of complaints a university student might have
View Projectzulip
September 25, 2015 – Present
Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, from AI-based maze solvers to air pollution prediction and search engines, suggests a broad interest within the data science domain. However, the lack of team-based or professional project experience makes it difficult to fully assess cultural fit in a collaborative work environment. The single listed 'experience' entry is future-dated, providing no current professional context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.