Nitin Kanagaraj

Data Scientist

Chicago, Illinois, United States7 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Proficient in Python and Machine Learning.
Experience in data analysis and visualization.
Strong background in statistical modeling.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Data Analysis.

Contact

Skills

Core Skills

Data AnalysisMachine Learning

Other Skills

PythonSQLData ValidationETLHTMLData VisualizationStatistical ModelingKerasDeep LearningExploratory Data AnalysisAnalyticsProductData PresentationData AnalyticsStatistics

About

A Data Scientist with interest in Algorithms, Computational Neuroscience, Mathematics, Machine Learning, Quantitative Analysis and Data Science with work experience using datasets for data analysis and data visualization using pandas, numpy, gretl, seaborn, matplotlib, tableau and Machine Learning using scikit-learn, Deep Learning using tensorflow and practical knowledge in statistics and statistical modeling along with excellent programming skills. Skills: Languages: Python, Java. Libraries: pandas, NumPy, matplotlib, seaborn, TensorFlow, sci-kit learn. Tools: Tableau, gretl, Data Analysis, Data Visulaization, Machine Learning

Experience

Capital one

Senior Data Analyst

Aug 2021 – Present · 4 yrs 7 mos · Chicago, Illinois, United States

Developed Python scripts to obfuscate the personal information of users for Capital
One's Canadian card data.
Developed SQL queries to fetch users' card data information and performed data
validation on the data using Snowflake.
Developed ML Algorithms to perform data validation and data classification.
Developed Python scripts to determine the costs for running SQL queries in AWS.
Performed ETL pipelines for storing data in warehouses.
Performed data testing to check if the queries pulled the correct data.
Developed Python script and SQL queries to generate the Analysis report for the
dataset ids.

PythonSQLMachine LearningData ValidationETLData Analysis

Cme group

Software Engineer - Data Science

Aug 2019 – Jul 2021 · 1 yr 11 mos · Greater Chicago Area

Created Volume Incentive Program Reports for about 620 trading firms registered with CME. Each report displays the volume traded bya firm based on the program name, dates, accounts, and commodities traded. The amount of volume traded is used to provideincentives to the traders in each firm. The reports were generated using python, SQL, and HTML.
Developed a machine-learning algorithm with 81% accuracy to perform fuzzy matching to match the accounts registered with CME.
Analyzed and validated the trading data for different commodities such as gold, livestock, corn, etc over the years in the CME liquiditytool using HIVE and python. CME liquidity tool displays the book depth, cost to trade and bid-ask spreads for CME traded products.
Built and deployed Jenkins pipeline to gather order book data for the commodities traded in the prior week.
Performed visualization on the trading data for each CME products pulled from HIVE and presented the insights for managerial actions.
Performed page tagging for the URL links visited by individual users.

PythonSQLHTMLMachine LearningData AnalysisData Visualization

Texas a&m university-kingsville

Graduate Teaching Assistant

Jan 2019 – Apr 2019 · 3 mos

CSEN 5325 - Software Engineering
CSEN 2306 - Object-Oriented Programming
Responsibilities
Fundamental concepts were taught during classroom sessions.
Clarified the student's doubt during office hours.
Graded assignment papers and exam papers.

Method data science

Data Scientist Intern

May 2018 – Dec 2018 · 7 mos · Irvine, California

Developed a system that can detect and analyze latest fashion trends using fashion blogs.
The dataset was images from Instagram Accounts of Fashion Brands and Bloggers.
Performed manipulation and data analysis of demographics and different clothes worn by people using correlation.
Improved accuracy of predictive statistical models using ensemble models by around 10%.