Rishikesh K

Skills

Experiences

1. 

   University of Michigan

   Aug 2024 - Current

   Graduate Student Instructor

   GSI for QMSS 301 - Quantitative Social Science Analysis and Big Data - Leading weekly labs and conducting office hours to instruct and support over 30 students in R, geospatial analysis, Python, and machine learning basics. - Collaborating with faculty to develop and deliver hands-on exercises, while providing personalized feedback to enhance student learning outcomes.
2. 

   University of Michigan

   May 2024 - Sep 2024

   Research Assistant

   Language and Information Technologies Lab (LIT@UMich). Working under Dr. Veronica Perez-Rosas and Prof. Rada Mihalcea to explore the realm of Fake News Detection and Perception through User Modeling and LLMs.
3. 

   University of Michigan

   Jul 2024 - Sep 2024

   Research Assistant II

   The "Climate Change, Demographic Shifts, and Socio-Political Stability" project at the University of Michigan examines how climate and demographic changes affect socio-political stability in Sub-Saharan Africa. As an NLP PoC, I contribute by curating data to uncover causal relationships between climate change and social unrest parameters via processing terabytes of data from Research Papers and Political Articles. My work involves collecting and analyzing data, as well as developing NLP models to support this analysis.
4. 

   mu-sigma

   Aug 2022 - Jun 2023

   Data Science Manager

   1. Impairment Classification - Led a team of 7 data scientists and designed an unbalanced multi-class classifier by stacking XGBoost and a sequential Neural Net to facilitate Classification of Network Impairments into 15 classes. 2. Assisting in Business Development to identify and add new logos to Mu Sigma’s portfolio. 3. Clinical Trials Simulation - Led a team of 6 data scientists for designing a close to real life simulation using Probabilistic Bayesian Networks and Agent Based Modeling for simulating patient stock flows and journeys in a clinical trial.
5. 

   mu-sigma

   Jul 2019 - Aug 2022

   Data Scientist

   1. Store Planning and Forecasting - Assisted the FP&A team of the world’s largest home improvement retailer to plan 11 retail metrics viz. Sales, Markups, Markdowns, Inventory, among others, for upcoming fiscal halves. - Enabled Digital Transformation by migrating a legacy Store Planning tool, reducing execution time by 60%. - Utilized Washout 2 and 3 constraint Optimization, along with Time Series models (ARIMA) to design Financial Plans resulting in the client organization exceeding planned Gross Margin by ~2% in FY 2020-21. - Created 7 Tableau Dashboards to provide detailed insights and flag anomalies in Financial Plans, empowering Store Managers and Region Finance Leads to meet Sales targets in 63% more instances. 2. Network Service Experience - Led a team of 7 data scientists in identifying key features for degraded network service for the Data Science and Data Engineering team of a Fortune-100 Telecom clientele. - Conducted EDA on 7 datasets including Cable Modem Registration, Speed Tests, Modem Utilization, and PNM (Proactive Network Maintenance, RxMER, FEC), achieving 98.7% accuracy in detecting degraded network service events. - Delivered a dynamic State Table for real-time monitoring of Network Outages and Downtime for ~30M cable-modems, enabling preemptive rectification of outages leading to 37% less customer complaints in comparison to the historical trends.
6. 

   BMC Software

   Aug 2018 - Apr 2019

   Project Intern

   Designed a prototype for integrating a blockchain based backend to a globally used legacy ITSM software. Used Hyperledger Composer and a voting based consensus mechanism to design the private blockchain framework.

Education

1. 

   University of Michigan

   Aug 2023 - Current

   Master of Science - MS

   Data Science
2. 

   Savitribai Phule Pune University

   Jul 2015 - May 2019

   BE - Bachelor of Engineering

   Computer Engineering