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Niharika Chakravartty

@niharikachakravartty

Lead Analyst at Citi who identified $6.6MM in potential impact across 89 operational incidents using Python and AI-assisted analytics.

India

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At Citi, I developed a Python-based retrospective analytics solution using GitHub Copilot and Citi's in-house AI platforms. It identified $6.6MM in potential financial impact across 89 incidents.

I also analyzed service-level and abandoned-rate misses, presenting root causes and workforce planning recommendations to senior managers and directors. This work contributed to a 70 bps reduction in service-level misses.

At MiQ Digital, I led an eight-member analytics team and helped develop an AI-powered post-campaign analysis tool that cut reporting turnaround time by 50%. Earlier, I built Tableau dashboards and analytics solutions at MiQ Digital and Mu Sigma, including a payer-data application serving 200+ daily users.

Experience

Work history, roles, and key accomplishments

Current

Lead Analyst

Current

Citi

Jan 2025 - Present (1 year 10 months)

Developed a retrospective analytics solution in Python, identifying $6.6MM in potential financial impact across 89 incidents. Performed root-cause analysis of SLA and Abandoned Rate misses, presenting findings to senior management.

Python VSCode GitHub Co Pilot AI Platforms SQL Root Cause Analysis Workforce Planning Forecasting Scheduling Financial Impact Analysis Transcript Mining NLP

Associate Manager

MiQ Digital

Jan 2021 - Jan 2025 (4 years)

Led and mentored an eight-member analytics team, setting performance goals and conducting reviews. Led KPI reporting, Tableau dashboards, and data automation across a $33M+ market.

SQL Tableau Python Data Automation KPI Reporting Team Leadership Mentorship Jira Excel Prioritization Data Quality Agile

Lead Analyst

MiQ Digital

Jan 2019 - Jan 2021 (2 years)

Delivered COVID-19 travel analytics to guide advertiser targeting for U.S. tourism clients. Led end-to-end transition of data activation workflows, ensuring GDPR and CCPA compliance.

SQL Tableau Python Data Activation GDPR CCPA Privacy Preserving Analytics Campaign Analytics Pixel Insights Automation Product Discovery Workflow Applications

Decision Scientist

Mu Sigma

Jan 2016 - Jan 2019 (3 years)

Optimized recommendation algorithms by identifying data patterns, improving accuracy and adoption. Built a clustering algorithm for SKU recommendations and a Tableau web application for payer data.