IT Project Analyst and Data Automation Specialist

Sai Kumar Akasapu

*************@*****.*** Manchester, NH, 03101 857- 424 - 6169 Linkedin

PROFESSIONAL SUMMARY:

IT Project Analyst skilled in managing IT projects, business automation, and delivering insights via Power BI, Power Automate, Microsoft Lists, Power Apps, and Microsoft Fabric. Experienced in collaborating with stakeholders to define requirements, build process automations, design dashboards, and support database integrity. Proficient in AI fundamentals, project tracking, timelines, budgets, and enhancing data systems for business process improvements.

EXPERIENCE:

Tata Consultancy Services Hyderabad, Telangana, India

Data Analyst May 2022 – Aug 2023

Managed analytics projects from planning to implementation, collaborating with 20 stakeholders to gather requirements, optimize pipelines, and deliver dashboards using Power BI and SQL.

Built data processing automations with Python and SQL, ensuring database integrity, relational structures, and actionable insights that improved accuracy by 15%.

Designed and maintained reports and visualizations in Power BI for business processes, tracking timelines and performance metrics equivalent to project budgets and outcomes.

Supported IT-related data systems enhancements through EDA, fraud detection, and workflow improvements, aligning with AI fundamentals for enhanced analytics and automation.

Amazon Hyderabad, Telangana, India

TRI / Quality Specialist- Analytics May 2021 – Mar 2022

Developed SQL queries and Python scripts to extract, transform, and analyze data for business insights.

Collaborated with business teams to define KPIs and requirements for business decision-making.

Managed stakeholder communication, setting clear expectations for report deliveries and insights.

Generated bi-weekly, monthly, and quarterly business reports to track operational performance.

Partnered with engineers and PMs to scope analytics projects and deliver actionable insights.

Cognizant Hyderabad, Telangana, India

Data Associate Dec 2019 – May 2021

Analyzed multiple layers of data for Apple Maps and Google Maps to ensure consistency and quality.

Managed data processing and ticket allotment on client-specific tools for Apple India Pvt Ltd.

Led a team during the COVID-19 emergency to ensure smooth business operations.

Used SQL for querying and extracting user data to enhance map accuracy and location data consistency.

EDUCATION:

Rivier University, MS in Computer Science, GPA: 4/4 Jan 2024 – Dec 2025

Relevant Coursework: AI & ML, Deep Learning, Algorithms, DBMS, Python Programming, Data Visualization.

SITE, Bachelor of Technology in Mechanical Engineering Jun 2015 – May 2019

Relevant Coursework: Statistics, Algebra, Application of ODEs, PDEs, AND CFD, Programming for Engineers.

SKILLS:

Programming Languages: Python Certified, SQL Certified, Shell Scripting.

Tools: Git, AWS, Power BI, Excel, Microsoft 365, Power Automate, Microsoft Lists, Microsoft Power Apps, Microsoft Fabric.

ML Skills: Training, Evaluating & Deploying Deep Learning Models, Distributed Computing, Improving Latency.

Soft Skills: Problem Solving, Teamwork, Attention to details, Excellent Communication Skills.

ML Libraries: Scikit-learn, TensorFlow, PyTorch, Keras, HuggingFace, Pandas, NumPy

Data Analysis: A/B Testing, ERP Systems, KPI Measurement, Exploratory Data Analysis, Dashboard Design, Business Intelligence, Data Transformation, Project Management, IT Projects.

PROJECTS:

Smile And Unlock: GitHub Link December 2024

Built a CNN-based facial expression recognition system to unlock doors only when a user exhibits a genuine smile. Achieved 92% smile detection accuracy using deep learning with real-time webcam feed, integrating OpenCV, TensorFlow, and Keras for deployment. Demonstrated practical AI implementation for secure and mood-aware access control.

Customer Churn Prediction & Retention Dashboard: GitHub Link April 2025

Designed an end-to-end analytics solution to predict customer churn and inform retention strategy for a telecom provider. Used Python and scikit-learn to build predictive models across 7,000+ records and visualized churn drivers in Power BI. Reduced preprocessing time by 30% and enabled targeted marketing through data insights.

CERTIFICATIONS:

IBM Python for Data Science, AI & Development View Credential

Duke University Data Science Math Skills Certification View Credential

Hacker Rank Advanced SQL Certification View Credential

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