Nithila Sudhan
Co-Founder (Non Exec) & Product Lead (Legal & Compliance)
Chennai,TN
Summary
Product-minded analytics professional with 3 years of experience in data analysis, machine learning, and founder-led product operations. Skilled in translating business problems into data-driven solutions, KPI frameworks, and scalable workflows. Seeking analyst roles focused on product, strategy, and decision analytics.
Overview
5
5
years of professional experience
Work History
Co-Founder (Non Exec) & Product Lead (Legal & Compliance)
AastraZen Technologies
11.2023 - Current
- Translated business requirements into structured product workflows covering onboarding, service delivery, and client lifecycle management
- Designed and documented 20+ standardized operational processes to reduce ambiguity in early-stage execution
- Built KPI tracking frameworks to monitor turnaround time, task completion velocity, and service pipeline efficiency
- Established Jira sprint workflows, backlog prioritization systems, and execution tracking for cross-functional teams
- Created internal reporting structures to give visibility into delivery timelines and operational bottlenecks
- Identified workflow inefficiencies and redesigned service pipelines to improve coordination across product and operations
- Led stakeholder discussions to convert product requirements into actionable execution plans
- Managed hiring, onboarding, and role structuring for early team members to support operational scaling
- Oversaw budgeting and resource allocation decisions in a constrained startup environment
- Developed documentation systems to standardize repeatable processes and improve knowledge transfer
Data Analyst
TELUS International, UK
02.2023 - 08.2023
- Analyzed data from 25000 MAU and used outputs to guide marketing and product strategies
- Increased user engagement time by 2x, 30% decrease in drop off rate, and 3x shares on social media.
- Conducted regular reviews of data to ensure products met all necessary compliance standards, reducing errors by 10%.
Machine Learning Analyst
QTREE Technologies
03.2021 - 05.2022
- Performed advanced Regression in data science and earned working knowledge of Libraries such as pandas, sklearn in python to create several machine learning models for over 100K data observations.
- Incorporated interfaces for Drawing Statistical and informative Graphics in python, Machine Learning and analytics classifiers.
- Conceptualised predictive methods like decision trees and logistic regression to analyze large sets of customer data and increase visibility on user engagement and acquisition strategy changes by 15
Data Analyst
CRI Group Pvt Ltd
01.2021
- Generated 1,000+ actionable insights via Excel and Tableau dashboards
- Maintained 200K+ product records improving forecasting accuracy by 13%
- Optimized workflow analytics increasing risk prioritization accuracy by 15%
Education
MSc - Data Science & Analytics
University of Leeds
01.2023
BSc - Computer Science with Data Analytics
PSG, Coimbatore
Coimbatore01.2021
Skills
Technical: Python, SQL, Tableau, Power BI, Machine Learning, Statistical Modeling, Python (Pandas, NumPy, Scikit-learn, Matplotlib), SQL , R (ggplot2), Excel
Analytics & Decision Making: KPI Design, Product Analytics, Funnel Analysis, Performance Tracking, Business Metrics, Data-Driven Decision Making, Workflow Optimization, Problem Structuring
Tools: Jira (sprint tracking, backlog management), Git, Agile workflows, Git, Microsoft Office, LaTeX
Timeline
Co-Founder (Non Exec) & Product Lead (Legal & Compliance)
AastraZen Technologies
11.2023 - Current
Data Analyst
TELUS International, UK
02.2023 - 08.2023
Machine Learning Analyst
QTREE Technologies
03.2021 - 05.2022
Data Analyst
CRI Group Pvt Ltd
01.2021
BSc - Computer Science with Data Analytics
PSG, Coimbatore
MSc - Data Science & Analytics
University of Leeds
PORTFOLIOS
- IBM Certified Data Scientist — SQL Advanced (HackerRank)
- Hackerrank — link : https://www.hackerrank.com/sudhannithila
- Credly — link : https://www.credly.com/users/nithila-sudhan/badges
- Github — link : https://github.com/Neethu0524