Srilekha Tirumala Vinjamoori - Data Analyst & ML Enthusiast

About Me

I’m a data storyteller and analyst passionate about turning raw data into actionable insights. With a strong foundation in SQL, Python, Power BI, and Tableau, I blend technical expertise with strategic thinking to solve real-world problems.

I hold a Master of Science in Information Systems and a Graduate Certificate in Business Analytics from the University of Texas at Arlington. With proven expertise in SQL, Python, Power BI, and Tableau, I build end-to-end data solutions that optimize processes and drive strategic growth. I am eager to apply my advanced analytical skills and collaborative leadership experience to help your organization make smarter, data-driven decisions.

Beyond analytics, my drive extends to leadership and community. At the University of Texas at Arlington, I was selected as an Election Supervisory Board Member for the Student Government, ensuring fair and transparent electoral processes. During the COVID-19 pandemic, I volunteered with an NGO to distribute essential supplies to those in need. Furthermore, my lifelong passion for athletics—competing in inter-school sprints and playing basketball at the city level—has shaped me into a disciplined and collaborative team player.

Whether through code, design, or data, I’m driven to create impact—data-first, people-always.

M.S. Information Systems - May 2025

Education

Master of Science in Information Systems

The University of Texas at Arlington • Texas, USA

Aug 2023 – May 2025

GPA: 4.0/4.0

Relevant Coursework: Data Mining, Python, Project Management, Database Management Systems, AI Ethics, Cloud Computing, Data Warehousing, Business Intelligence, and Analysis & Design.

Graduate Certificate in Business Analytics

The University of Texas at Arlington • Texas, USA

Aug 2023 – May 2025

GPA: 4.0/4.0

Bachelor of Technology in Electronics and Communication Engineering

SRM Institute of Science and Technology • Chennai, India

Aug 2016 – May 2020

GPA: 3.3/4.0

Experience

Data Integrity Analyst

American Red Cross

Jul 2025 - Present

Reviewed and verified data entries across internal systems, maintaining accuracy and consistency for volunteer and donor records.
Cleaned and maintained databases by applying data validation rules, handling missing/incomplete records, and ensuring adherence to data standards.
Analyzed data trends to identify anomalies, duplicate entries, and inconsistencies, contributing to improved data quality and process reliability.
Supported data integrity processes through exception tracking, root cause analysis, and documentation of data correction workflows.

SQL

Power BI

Excel

Data Integrity

Data Cleaning

Data Validation

Salesforce

Graduate Teaching Assistant

The University of Texas at Arlington

Jan 2024 — May 2025

Conducted SQL and Python-based data analytics workshops for 100+ graduate students, focusing on practical querying, data wrangling, and real-world case applications.
Designed and delivered 3+ end-to-end case studies per semester using industry datasets, guiding students to build interactive Tableau dashboards and derive actionable insights.
Mentored students on advanced analytical thinking, hypothesis framing, and storytelling with data — leading to a 15% improvement in performance on data-driven assignments and capstone projects.

SQL

Python

Tableau

Oracle DB

Data Visualization

Data Analysis

Excellent Communication

Leadership

Digital and Systems Analyst

Shree Venkateshwara Foams LLP

Oct 2022 — May 2023

Engineered and launched a suite of Power BI dashboards to monitor real-time sales, inventory, and customer segmentation. These tools streamlined data access for leadership and improved strategic decision turnaround by 20%.
Led an initiative to automate inventory tracking by coordinating with cross-functional teams and integrating supply chain KPIs into the analytics workflow. This project reduced stock discrepancies by 25% and significantly improved fulfillment accuracy.
Developed and executed data-driven digital marketing campaigns across social media platforms, leveraging audience segmentation and performance analytics. The optimized strategies led to a 15% increase in customer engagement and a 10% rise in lead conversions.

SQL

SQL Server

Microsoft Excel

Power BI

Supply Chain Analytics

Digital Marketing

Social Media Marketing

Stakeholder Communication

Cross-Functional Team Collaboration

Analyst

Wipro Limited

Sept 2020 — Aug 2022

Conducted quantitative root-cause analysis on over 2,000 test cases from 40+ server migrations using Proton. By extracting and analyzing defect data, I identified critical failure trends that informed system improvements and cut issue resolution time by 30%.
Engineered a suite of ServiceNow dashboards to track and analyze IT service delivery, creating automated workflows for certificate requests, 50+ monthly change requests, and multiple escalated incidents. These BI tools provided key insights that streamlined request handling and reduced average response times by 40%.
Directed the data validation and performance testing for 40+ critical server migrations to ensure 100% data integrity and operational readiness post-deployment. This role included managing hundreds of SSL certificates weekly to guarantee secure, uninterrupted service and maintain strict SLA compliance.

IT Service Management

Service Now

Root Cause Analysis

System Testing and Validation

Data Integrity

Public Key Infrastucture Management

SLA Management and Compliance

Data Driven Reporting

Incident and Change Management

Proton

Silver PKI

Digicert

Excel

Defect Trend Analysis

Coordination

Leadership

Client Communication

Stakeholder Communication

PROJECTS

AutoNexus: Automate. Explore. Model. Explain.

AutoNexus is a full-stack, end-to-end AutoML and Explainable AI (XAI) platform I developed to make data science accessible and transparent. Featuring a secure Firebase authentication system, the app guides users through a professional machine learning workflow, including data preprocessing, automated hyperparameter tuning, and deep model interpretation with SHAP and LIME. To enhance the user experience, the platform features a context-aware AI assistant, powered by Google's Gemini, that provides conversational guidance throughout the data science lifecycle.

Explainable Boosting Machine

Google Gemini API

Firebase

FairLend: Interpretable & Fair Loan Default Prediction

Developed a classification pipeline to predict loan defaults using Random Forest with SMOTE for class imbalance. Focused on model transparency by applying SHAP, LIME, and DiCE-ML to explain predictions and generate counterfactuals. Evaluated fairness across protected attributes using AIF360 and Fairlearn, and visualized global feature impacts using ALE and PDP plots. Achieved high recall on minority class while ensuring model interpretability and ethical compliance.

Bias & Fairness Evaluation

Classification Modeling

FraudSpotter: Can You Tell What’s Real?

Built a fraud detection model using Naive Bayes algorithms (Exact & Bernoulli) with 96.45% accuracy. Engineered key features using CountVectorizer, categorical encoding, and salary transformation. Addressed class imbalance using SMOTE, and evaluated performance with precision-recall curves and cross-validation.

Imbalanced Classification

Model Evaluation

Cross-Validation

WineWise: Forecasting Household Wine Purchases

Developed a regression pipeline to predict 'AmountWines'—the amount spent on wine by customers—using demographic and behavioral data. Conducted data cleaning, feature engineering, and EDA. Trained and tuned Linear Regression, Random Forest, and XGBoost models using RandomizedSearchCV, achieving R² = 0.89 with XGBoost. Applied SHAP for interpretability, highlighting household income and number of adults as key predictors.

LegalLens: Real-Time Justice InsightsConfidential

Built an interactive Power BI dashboard using data from Microsoft SQL Server to monitor legal case outcomes, advocate performance, pending workloads, and subscription alerts. This enabled real-time performance tracking and improved operational decision-making for legal teams by enhancing overall case management efficiency.

SQL Server

Power BI

KPI Tracking

Data Modeling

Business Intelligence

Screenshot of SmartStock: From Chaos to Clarity

SmartStock: From Chaos to Clarity🚧 Coming Soon

Designed a normalized Oracle database and built Tableau dashboards to streamline order fulfillment and inventory tracking. Improved database performance by 25% and reduced stock shortages with predictive insights into stock trends.

Oracle

SQL

Tableau

ERD

Query Optimization

Inventory Analytics

Business Logic Implementation