Achyut Kumar Verma

Experience

• 

  Indian Institute of Technology, Kanpur

  May 2019 - Jul 2019

  Sponsored by Nutanix and UPSIDC• Project Title:To build a web-based interactive platform for the communication between teachers and parents for the guidance of their wardsMentor: Prof. Sandeep Shukla, HOD-CSE, IIT Kanpur 1. Worked on the Front-end and Back-end development as a part of a team of 6 interns to create a scalable web application2. Implemented login page in the application using Ionic framework and created various features for the development of the same3. Tech Stack: JavaScript, Ionic, Firebase, Microsoft Azure Show less • Project Title: To train a Machine Learning model to predict a movie’s worldwide box office revenue using 10k+ past film datasets• Mentor: Prof. Faiz Hamid | Department of Industrial and Management EngineeringData preprocessing | Statistical analysis | Exploratory Data Analysis (EDA) | Regression techniques (LR, RF, NN)1. Pre-processed, cleaned & visualized the dataset using Correlation & Statistical analysis including pair plots & heat map2. Applied Exploratory Data Analysis (EDA) to identify relationships, trends & anomalies and imputed inconsistent data3. Employed various regression techniques namely Linear Regression, Decision Tree, Random Forest, Neural Network Show less

  • Summer of Code, IITK CSE

    May 2019 - Jul 2019

  • Data Mining Analyst

    May 2019 - Jul 2019
• 

  Techkriti, Indian Institute of Technology Kanpur

  Oct 2019 - Mar 2020

  Hospitality Coordinator

  Techkriti is an annual four-day inter-collegiate technical and entrepreneurship festival at the Indian Institute of Technology Kanpur which is held each March. I worked as a hospitality coordinator to ensure the smooth conduction of the festival with the below responsibilities.• Leadership- Spearheaded a 3-tier team of 35 secretaries & 80 volunteers to ensure smooth conduction of 26th edition of Techkriti- Recruited & Supervised more than 300+ campus ambassadors for publicity of festival in 150+ colleges across the nation- Responsible for chalking out the logistics of hospitality, accommodation & transportation of around 1500+ participants• Initiatives- Introduced 10+ new workshops, restructured 8+ competitions incorporating the technical advancements- Initiated Model United Nations (MUN) for the first time in Techkriti and its collaborations with United Nations IC- Identified key target audience in terms of City, Colleges & Competitions registering from past 3-year trends• Impact- Generated revenue of INR 33 lakhs from the payment of 1400+ participants for workshops and accommodation charges - Achieved 20% YOY increased registrations in the number of participants in the various competitions and workshops Show less

• 

  Indian Institute of Technology, Kanpur

  Jan 2020 - Jun 2020

  Research Assistant

  • Project Title:To develop predictive models using machine learning to predict the viscosity of HPAM Polymer used in Enhanced Oil Recovery (EOR)• Mentor: Prof. Himanshu Sharma | Department of Chemical EngineeringPython | Exploratory Data AnalysisMachine Learning: Neural Network, Decision Tree, Regression, SVM1. Conducted a literature review to reproduce and extend the work on “Polymer Rheology” experimental dataset2. Compared existing model with other ML techniques such as Support Vector Machine, Decision Tree & Regression models3. Improved the Artificial Neural Network model to an accuracy of 98% with ‘ReLU’ activation function and ‘lbfgs’ solver Show less

• 

  UDPL: Udgam DigitaOps Private Limited

  Apr 2020 - Aug 2020

  Software Developer

  UDPL is a supply chain and logistics advisory firm working with organization to build supply chain technology enabling digital customer fulfillment.• Project Title:Last-mile Route Optimization: To optimize vehicle capacitated route planning involving pickups & deliveries for the heterogeneous vehicle fleet.• Supervisor: Snehanshu Mahto (Founder & CEO)Operation research | Google OR-Tools | Python | DBSCAN Clustering | Logistics Optimisation1. Formulated the routing strategy and built a python-based optimizer for vehicle routing problem (VRP) using OR-Tools2. Handled multiple constraints including vehicle load capacity, consumer time-window, resource constraint at the depot3. Improved the searching technique by using Guided Local Search (GLS) metaheuristic algorithm to avoid the local minima4. Built map tile rendering server using OpenStreetMap, Leaflet Routing Machine & PostgreSQL with map tile data of India5. Integrated DBSCAN clustering algorithm with vehicle routing problem to handle the large volume of customer orders6. Analyzed Pan-India logistics database with 25+ features and 4K+ data points to optimize fuel costs & number of vehicles7. Delivered ~43% reduction in travelling costs which resulted in reducing total cost of supply chain ownership (last mile)8. Reduced the turnaround time, thus enhancing the customer experience | Gained increase in the SLA compliance Show less

• 

  TVS Motor Company

  Jul 2021 - Jul 2022

  Data Scientist

  Functioning with the Data Analytics Team's Retail Drivers and Future Mobility Team (FM)Provide data-driven actionable insights for business growth• Leverage BI, AI, ML, DS tools for solving complex business problems and analyzing root causes• Create insightful dashboards for Business leadership KPI reviews & action plans• Recognise and analyze patterns & anomalies in data & help business users make sense of big data• Transform, aggregate, cleanse data for end-reporting & business user consumptionTech stack:• Python, Pyspark, SQL for data transformation on Azure Databricks & Jupyter• Microsoft PowerBI for business intelligence dashboards & AI tools • Advanced MS-Excel for data crunching, analysis & reporting• SQL DQL for data querying & transformations• Google Analytics & Google Data Studio for website performance analytics• Azure ML studio, Python for Machine Learning models Show less

• 

  American Express

  Aug 2022 - now

  Building AiDa at American Express AI Labs* Member of the AI Labs Governance and Solution Management Team contributing primarily to the product envisioning and roadmap creation for establishing a seamless, enhanced and well documented automated model governance journey for enterprise wide logicsSkills: Product Analytics · Product Management · Product Development · Product Lifecycle Management · Product Launch · Product Design · Product Innovation · Python (Programming Language)

  • Senior Analyst - Product Development

    Nov 2023 - now

  • Analyst - Product Development

    Aug 2022 - Oct 2023