Swaviman Kumar

A dynamic and innovative Data Scientist with over 2 years of experience specializing in machine learning, NLP, and data analytics, backed by a Master's degree in Data Science from the University of Trento, Italy. Demonstrated proficiency in Python, R, and SQL, with a proven track record of delivering exceptional results in data-driven projects.

Mathematical Skills

Expert in Linear Algebra, Statistical Analysis, Probability, and Bayesian Statistics. Proficient in Conjoint Analysis, enhancing data modeling and market research. Skilled in MATLAB for technical computing, LaTeX for documentation, and R Programming for statistical computing. Familiar with optimization and time series analysis, key for predictive modeling.

Business Intelligence

Advanced Power BI user skilled in DAX, custom visualizations, and interactive dashboards. Proficient in IBM Cognos and Watson for in-depth analytics. Experienced in Python and R for data analysis; adept with Python's Matplotlib, Seaborn, Plotly, and R's ggplot2, shiny for compelling visualizations. Attained Google Analytics Certification.

Machine Learning Skills

Proficient in key Machine Learning algorithms like clustering, regression, & classification. Experienced with Databricks and MLFlow for ML lifecycle management. Adept in Python & R libraries such as scikit-learn, TensorFlow, & caret. Skilled in using Azure Cloud, Azure Data Factory, Databricks and ETL Processes, adept at conducting A/B testing as well as Git version control. Experienced in Natural Language Processing, with a focus on implementing & optimizing Large Language Models.

Educational Qualification:

MS in Data Science

Sep 2021 - Oct 2023
Department of Sociology & Social Research
University of Trento, Italy

Thesis: "Cracking The Personality Code: A New Frontier In Personality Prediction". Using smartphone sensors to study human behavior & personality.

Areas of studies inloved:
Statistical Learning, Statistical Modeling, Data Mining, Law & Data Machine Learning, Deep Learning, Natural Language Processing (NLP), Sociology & Psychology, Social Dynamics Lab, Customer and Business Analytics, Project Management, Information, Knowledge & Service Management

PG Diploma in Data Science & AI

Dec 2020 - Sep 2021
Indraprastha Institute of Information Technology, Delhi

Grade: 9.5/10

Capstone Project: "Churn Analysis on Telco Data using IBM SPSS Modeler & IBM Cognos, Cloud Pak, Predictive Analysis with Watson ML."

Subjects studied :
Mathematics & Optimization, Data Mining, Big Data Analytics, Business Intelligence, IBM Cognos, IBM Cloud, IBM Watson, IBM Machine Learning Studio

Bachelor of Technology in Electrical Engineering

Aug 2012 - Aug 2016
Department of Electrical Engineering
Biju Patnaik University of Technology, India

18

Projects Completed

505

Cups of Coffee

22

Worldwide Clients

Professional Experiences

Data Analyst
Jan 2024 - Present
Expecta, Italy

Machine Learning Intern
Apr 2023- Jul 2023
Startup Commons, Finland

Programmer Analyst
Dec 2016 - May 2020
Cognizant Technology Solutions, India

Learn More

Projects

Big Data and Climate Change in Barcelona

The city council of Barcelona floated a challenge to come up with innovative ideas in order to fight climate change. Worked with the city council to help make the city more sustainable and help the city fight climate change through sustainable urban developement. Conducted on-site observation and research, used data collected by the city council through various means and proposed solutions to tackle excessive heat wave problem in the city. My team won the challenge among participating teams from 13 different countries and received financing opportunity from the European Union in order to further implement our proposed solution.
Published here

Building an image search engine using ML algorithms

This was a class project for the course "Introduction to Machine Learning".The main objective of this project was to create an image search engine where a query image is fed to a model that will return the most N similar images from a gallery. The expected algorithm’s output was therefore a list of ranked matches between the query image and the gallery images. We were initially provided with a small amount of data and we were free to collect as much data as we like to train our models. During the challenge day the organiser released the test set (which also contained distractor images) to measure the performance of the algorithms of all teams and to fill the leaderboard. We implemented transfer learning in our solution. We made use of imagenet pre-trained models and enhanced their capabilities in order to fit to our problem. Our team secured second position in the leaderboard among 7 teams.
Published here

Business Analytics for a Sustainable Telecommunication Market

Worked with the largest telecom operator in Italy, WindTre in order to explore new business avenues to invest, did market research, conducted statistical analysis and gave an elevator pitch before WindTre Business team with new investment proposal to expand their portfolio. I lead a team of 4 in this project and learned crucial team management & leadership skills. Challenge details can be found here.
Published here

To find out the latest projects i have been involved in visit this dedicated page below.

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For more fascinating projects head over to my Github repo.

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Testimonials

Words from those who have worked with me.😊

Kumar has done a machine learning internship at Startup Commons. He is a great team player that engages actively in the team discussion and product development. He also demonstrated great work ethics and attitude to take challenges and navigate out of his comfort zone throughout the internship period. I definitely recommend Kumar for any similar role.

Oscar Ramirez

Oscar Ramirez

CEO, Startup Commons

Swaviman was a highly skilled partner related to machine learning at Digiole Oy in Finland. It was a pleasure to work with him, and I highly recommend working with him. As a professional, I have to say that he commits to everything he says and delivers quality work. He is transparent and honest.

Víctor Martínez Zapata

Víctor Martínez Zapata

Multiplatform App Developer

He is a very highly skilled employee who managed to overcome every challenge in a very smart, reliable and efficient manner. Did not fail any deadline.

Gaurav Swain

Gaurav Swain

Assistant VP

He not only has a great understanding of web analytics and marketing but also knows how to turn that knowledge into actionable insights that drive business growth. I was particularly impressed with his ability to transform complex data into clear and concise visuals that effectively communicated important findings to our stakeholders. His understanding of customer’s need is excellent.

Diptesh Bhakat

Diptesh Bhakat

PPC Specialist/Digital Marketing Expert

Recent Blog Posts

Discover my most recent published works & articles. 👇

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