Zenext develops Voice AI solutions for emergency responders. The technology is being developed as part of the NIST Public Safety Communications Research (PSCR) divisions Tech to Protect innovation challenge.

Motional | Sep 2020 - Aug 2021

Senior Engineer - Performance and Metrics

We at Motional are commercializing a world-class driverless system. Our team is behind some of the industry’s largest leaps forward in the last decade, including the first fully-autonomous cross-country drive in the U.S, the launch of the world’s first robotaxi pilot, and operation of the world’s most- established public robotaxi fleet. Strategically formed by Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives.

Indiana Department of Environmental Management | Feb 2020 - Sep 2020

Senior Business Intelligence Analyst

N/A

Cummins Inc. | May 2018 - Feb 2020

IT Technical Data Analyst

1. Developed an automated data onboarding process for existing internal search engine, increasing usability and reduced run-time performance by 50% for 200+ employees worldwide; organized workloads, drive business decisions and track function performance. 2. Team lead in collaboration with engineering and marketing teams across organizational boundaries to explore data, design learning plan and conduct analyses using Python & SQL-Scripting Language. 3. Project management - Coordinated with business and marketing team from requirement gathering phase to solution delivery; communicated insights and learnings to key stakeholders / executives, drive actions and impact. 4. Identified relationships and patterns in data by using a suite of data exploration and data visualization techniques using Power BI and R; extract insights into multivariate data by applying principles of multivariate data mining. 5. Delivered on project expectations including defining, generating, and monitoring KPI metrics dashboard, automate reporting and provide exploration capability for reporting and synthesized complex issues/scenarios into easy-to- understand concepts. 6. Conducted indexed data quality assurance and figure out root cause for bugs; performed debug and conduct troubleshooting; tested and validated data; successfully signed-off applications and products. 7. Created spreadsheet and BI dashboard to conduct ad-hoc analysis and reports based on important metrics and KPI to monitor the health of content in internal search engine 8. Modeling and statistical analysis using Python for large data sets using regression, classification, anomaly detection, time series forecasting using advanced statistics.

Indiana University–Purdue University Indianapolis | Aug 2017 - May 2018

Data Scientist

1. Large scale data analysis and visualization using SQL, Python, Apache Spark and Map-Reduce, implementing Machine Learning, Neural Networks and building dashboards using Tableau and Power BI. 2. Research Projects: 1. Unsupervised Word Influencer Networks from News Streams using Text analytics(Latent Dirichlet Allocation) and Lasso Granger Causality. 2. Network Analysis in Demonstrating Prominent Authors in Academic Publications and understanding Co-Author relationships using Sci2 3. Multi-dimensional Visualizations of Student Book Choice using Predictive Analytics 4. Binary classification of Breast Cancer cells using Histopathological Features, implementing Machine Learning algorithms (Random Forest, KNN, Feature Selection) in Python and visualizations in Tableau.

Indiana University–Purdue University Indianapolis | Aug 2016 - Jul 2017

Research Assistant - Data Visualization and Analysis

statistical analysis and software implementation based on primary and secondary research. 2. Multimodal assistive technology(MIHA) for Older Adults 3. Intensive Statistical simulation and story-telling

CPS GLOBAL | Feb 2013 - May 2016

Data Analyst / Business Intelligence Analyst

1. Demonstrated leadership and provided strategic direction in redevelopment of OCR system for analysis of documents in use by 150+ employees, resulting in 20+ new features, reduction of 20% in save/load time of reports and 15% in operation time. 2. Built dashboards and Visualizations using Tableau and Power BI; monitor and analyse cross-disciplinary operational processes in order to develop meaningful and actionable process performance metrics and dashboards; Built Data Models with PowerPivot/Power BI. Created new measures, metrics and KPIs. 3. Data processing, quality control, and translating data to insights with data mining techniques and time series analysis in Python; Extensive data cleansing and analysis, using pivot tables, formulas, data validation, conditional formatting, and graphs and chart manipulation. 4. Designed new fields to measure insights and conducted logic analysis; implemented SQL to create new Measure, Dimension, Filter based on Business Rules. 5. Analysis, modelling and integration of large-scale data sets; data management process supervision, leverage new business models and technologies. 6. Demonstrated analytical and communication skills, attention to detail and ability to influence project stakeholders; expertise in entire BI lifecycle: Data Modelling, Data Integration, Data Measurement, Data Validation, Data Visualization. 7. Large scale data analysis and visualization using SQL, Python, Apache Spark, implementing Machine Learning, Neural Networks and building dashboards using Tableau and Power BI.

Cognizant | Sep 2011 - Jan 2013

Programmer Analyst

1. Developed complex queries to pull data from multiple data sources, conducted trends and patterns analysis to figure out root cause of data issues to improve Data Quality by QA testing. 2. Work with Engineering and Product Management teams in conducting large scale data analysis to influence business recommendations in driving cost benefit and impact analysis. 3. Created various artifacts for projects which include specification documents, data mapping and data analysis documents. 4. Articulated business questions and converted technical concepts into simple terms to present to diverse, technical, and non-technical audiences. 5. Created Dashboard metrics with SQL queries and ETL processes to extract information.

My Education

Take a look at my formal education

Doctor of Philosophy - PhD Management in Information SystemsMcGill University | 2028

Executive Certificate, Agile Project ManagementPurdue University | 2020

Master of Science - MS, Applied Data ScienceIndiana University–Purdue University Indianapolis | 2018

PG Diploma, Operations and Project Management (PMi NZ Chapter Accredited)Ara Institute of Canterbury | 2016

Bachelor of Technology (B.Tech.), Information TechnologyWest Bengal University of Technology, Kolkata | 2011

About Me

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