Machine Learning Data Analyst

ANANT KUMAR

Albany, NY 518-***-**** **.*********@*****.*** LinkedIn-Anant Kumar

SUMMARY

Data Analyst with 6+ years of experience delivering actionable insights to drive strategic decisions. Proficient in SQL, Python, data visualization, and machine learning, with a proven track record in developing dashboards and predictive models across government, fintech, and technology sectors. Recognized for transforming raw data into impactful operational and financial outcomes while effectively communicating complex technical findings to diverse teams. SKILLS

• Languages/Tools: SQL, Python, HTML, Excel, Visio, Tableau, Power BI

• Analytics/ML: Regression, Random Forest, A/B Testing, NLP, Anomaly Detection, Feature Engineering, Data Analytics, Machine Learning

• Data Engineering: ETL, DAX, Metadata Management, Dimensional Modeling, Star Schema

• Visualization & Reporting: KPI Dashboards, Financial Reports, Policy Analytics, Behavioural Dashboards, Data Visualization, Capital Markets

EXPERIENCE

NEW YORK STATE DEPARTMENT OF LABOR-NYSDOL (Research & Statistics Division) Dec 2024 - Present Manager - Data & Statistics Engineer Albany, NY

• Analyzed wage data for 100K+ nurse records across 5 quarters by integrating licensing, wage, and employer data to inform regional healthcare workforce policy using median, mean, and standard deviation metrics.

• Designed interactive Power BI dashboards with DAX to visualize integrated wage data, supporting executive decision-making for the statewide SLDS project.

• Directed the development of an AI-powered internal chatbot prototype using Gemini 1.5 Pro; defined technical specifications, crafted UX wireframes, and established success metrics that incorporated data analytics and machine learning concepts.

• Gathered and documented functional requirements through stakeholder interviews; mapped workflows, defined data elements, and co-authored a multi-agency grant proposal to advance workforce data modernization. C2FO (Kansas-based Fintech) Sep 2021 - Oct 2022

Associate Data Analyst- Market Operations Remote

• Engineered ETL workflows to integrate British Telecom's SAP system with C2FO's analytics platform, reducing cash flow analysis effort and cutting costs by 9% through robust data integration and statistical techniques.

• Developed a bid optimization module employing NLP and Python for financial data analysis, resulting in $1.6M in annualized savings and improved offer accuracy.

• Created SQL-based dashboards in Tableau to monitor financial KPIs, enhancing data visualization and streamlining executive reporting.

• Orchestrated data governance and quality assurance initiatives with cross-functional teams, increasing data accuracy by 12% and ensuring compliance across financial systems.

COGNIZANT TECHNOLOGY SOLUTIONS (Fortune 200 technology firm) Jun 2017 - Aug 2021 Data Analyst- Project Lead India & Oxford, UK

• Implemented an AI virtual assistant on the enterprise service desk to automate 36% of queries using machine learning and data analytics techniques, enhancing customer satisfaction by 60%.

• Steered a data-driven system migration involving 9,000+ assets by applying anomaly detection and A/B testing, yielding $50K in savings and reducing deployment risk.

• Constructed interactive dashboards and regression models to analyze telecom pricing trends, doubling RFP win rates from 13% to 25% through advanced statistical analysis.

• Identified and mitigated systemic cross-platform issues via predictive analytics, reducing IT risk exposure by over $250K. EDUCATION

Rensselaer Polytechnic Institute Aug 2023 - May 2024 MS, Business Analytics

• GPA: 4.0

• Achievements: 2024 Graduate Honoree, Merit Scholarship Recipient, Beta Gamma Sigma Honor Society Member Indian Institute of Management Jul 2015 - Mar 2017 MBA, Finance & Marketing

Bundelkhand Institute of Engineering & Technology Aug 2011 - Apr 2015 Information Technology

PROJECT

Data Science Consultant Jan 2024 - May 2024

Wells Fargo- Rensselaer Polytechnic Institute (Capstone) NY, USA

• Engineered predictive models using Random Forest and Decision Trees to identify key drivers of resolution times, improving customer service efficiency and reducing average handling time by 20%.

• Conducted feature engineering on agent behavior and call metadata to improve model accuracy to 95.3%, enabling targeted workflow adjustments and KPI tracking.

Opioid Sentiment Analysis, Reddit Jan 2024 - May 2024 Opioid Sentiment Analysis, Reddit - Rensselaer Polytechnic Institute NY, USA

• Applied NLP techniques like LIWC and BERTopic on 227,000+ Reddit posts to uncover emotional and cognitive patterns in discussions about opioid addiction, informing public health intervention strategies.

• Developed machine learning models to classify sentiment and emotional tone in user content, achieving an 87.8% accuracy rate and enabling prioritization of high-risk posts for triage simulation. Somerville Happiness Survey Analysis Jan 2024 - May 2024 Somerville Happiness Survey Analysis - Rensselaer Polytechnic Institute NY, USA

• Built an end-to-end ETL workflow to transform raw survey data into structured formats, designing an 11-table dimensional schema to enable efficient querying and cross-sectional analysis.

• Created interactive dashboards in Excel PowerPivot and Tableau to visualize correlations between happiness scores and socioeconomic indicators, supporting community planning recommendations.

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