Nithya Kattimani

01

Experience

GreenDot Digital Jan 2026 – Present

NTT Data Oct 2023 – Jan 2026

Conducted gap analysis on cloud operations workflows to identify inefficiencies.
Performed root cause analysis on recurring issues and documented improvements.
Developed Excel dashboards tracking operational KPIs for data-driven decisions.
Reduced manual monitoring effort by 30% through automation initiatives.

02

Requirement Gathering Process Mapping As-Is / To-Be Analysis Gap Analysis Workflow Automation Stakeholder Collaboration KPI & SLA Monitoring

Python (pandas, numpy, matplotlib, seaborn) Excel Power BI Tableau SQL (PostgreSQL)

Kissflow ServiceNow Jira Confluence Python JavaScript

03

JSS Academy of Technical Education, Bengaluru

CGPA: 8.07

04

🌾

Python · PostgreSQL · Power BI

Performed end-to-end analysis on 2,46,091 rows of Indian agricultural data spanning 33 states, 124 crops and 6 seasons (1997–2015).
Cleaned and transformed raw dataset using Python (pandas, numpy) — handled 3,730 null values and engineered yield_per_hectare feature.
Wrote 7 advanced SQL queries using window functions and aggregations to extract crop yield insights and rank states by efficiency.
Built a 4-page interactive Power BI dashboard with KPI cards, trend lines, treemap and scatter plot to visualise agricultural performance.
Key insight: Punjab is India's most yield-efficient large state despite smaller cultivated area.

🛒

SQL / PostgreSQL

Explored correlation between content consumption (genres, platforms) and purchasing behavior across Indian cities.
Solved 13 business problems using SQL techniques including JOINs, aggregations, subqueries, CASE statements, and window functions.
Identified key insights such as top revenue-generating cities, high-spending user segments, and category-wise revenue contribution.
Simulated a real-world business use case similar to integrated platforms like Amazon for targeted recommendations.

📊

Power BI

Built an interactive Power BI dashboard analyzing Apple's greenhouse gas emissions across fiscal years.
Created KPI cards to track total, average, and maximum emissions and visualized emission trends over time.
Developed category-level analysis to highlight the largest emission sources and their scope distribution.
Implemented slicers and interactive visuals to enable dynamic filtering and exploratory analysis.

🏏

Python · Power BI

Processed 278K rows of IPL ball-by-ball data (2008–2025) across 18 seasons using Python Pandas.
Built a 4-page interactive Power BI dashboard covering batting, bowling, team & season analytics.
Analyzed 703 batters and 550 bowlers to surface insights on top performers and team trends.
Key insight: Mumbai Indians lead all-time wins; Virat Kohli tops career runs with 7000+.

🔐

Python · OpenCV · AI Algorithms

Developed a fingerprint and iris recognition system achieving 95% classification accuracy.
Implemented image pre-processing, feature extraction, and model optimization techniques.
Improved authentication security using AI-based pattern recognition algorithms.

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