Power Bi Engineer Intern

Lasya Vanga

913-***-**** — # ************@*****.*** — ï linkedin.com/in/lasya-vanga — § github.com/Lasya-vanga Summary

Detail-oriented Technical Engineer Intern with experience in data analysis and QA. Proficient in Python, SQL, Flask, Power BI, and Tableau with a strong focus on automating workflows and building scalable solutions. Skilled in testing, dashboard creation, and Agile collaboration using Git and Jira. Passionate about delivering data-driven insights and reliable systems. Skills & Certifications

– Languages: Python, SQL, Java, JavaScript, R, C, HTML, CSS, PHP, React

– Tools: Power BI, Tableau, Excel, pandas, NumPy, matplotlib, MySQL, SQLite, Git, Linux, Ubuntu, AWS, ETL, Unit Testing, Integration Testing.

– Concepts: Exploratory Data Analysis (EDA), Machine Learning (Basics), Natural Language Processing (NLP), Speech Recognition, Data Modeling

– Certifications: Data Analytics Essentials by Cisco, Data Analytics using Python, AWS Cloud Virtual Internship, Python Data Structures (Coursera), Excel: Mother of Business Intelligence Experience

AcclaimLogix Inc – Technical Engineer Intern Data & Software Mar 2024 - Present

– Automated data processing workflows using Python, improving efficiency in data cleaning, validation, and reducing manual processing time by 40%.

– Built and tested RESTful APIs using Flask and SQL to support backend functionality and data access.

– Created and executed unit and integration tests, contributing to QA processes and improving code quality. Worked in Agile teams using Git, Jira, and performed peer code reviews to ensure software best practices.

– Developed and optimized SQL queries for data extraction, transformation, and analysis on large datasets. Designed interactive dashboards in Tableau/Power BI to visualize KPIs and business insights. The Webtrex Software Services - Data Analyst Intern Apr 2023 - Dec 2023

– Analyzed 50,000+ records using Python (Pandas, NumPy) and SQL, improving data quality by 25% and enhancing reporting reliability.

– Built 10+ interactive dashboards in Power BI and Tableau, enabling real-time KPI tracking and improving decision-making turnaround.

– Automated data processing pipelines with Python scripts and Excel macros, cutting weekly reporting time by 40%.

– Collaborated cross-functionally with product, operations, and leadership teams to define metrics and deliver insights that led to a 15% improvement in operational performance.

– Documented data handling processes and standard operating procedures, contributing to long-term scalability and consistency in analytics workflows.

Projects

Sales-Insights - PowerBI, DAX, Excel

– Designed and engineered a customer performance report to analyze and compare market performance against sales targets.

– Calculated and evaluated sales patterns using advanced Excel techniques, which maximized insights into sales activities and KPIs.

– Streamlined the process to facilitate effective discount strategies and identify promising market expansion opportunities. Task Manager Web Application - Flask, SQLite, HTML, CSS Mar 2025 - Apr 2025

– Built a task management web app for 20+ users, implementing SQLite backend and dynamic dashboard with Flask; improved task tracking efficiency with visual prioritization and deadline features.

– Features include task priority, due dates, status tracking, and secure user login.

– Designed for individuals and small teams to manage tasks effectively. Auto Insurance management systems - PHP, MySQL, JS, HTML, CSS May 2024 - Jun 2024

– Designed and implemented a role-based policy management system, enabling seamless claim processing, reducing redundancy and centralized data handling for policies and claims.

– Streamlined workflows and improved data integrity by reducing manual entry errors by 20%. Academic Project - Speech sentence modelling for controlling smart home appliances Sep 2022 - Apr 2023

– Built a smart-home voice assistant using HMM and MFCC for Telugu speech commands; supported 15+ unique actions across 5+ devices.

– Created a custom dataset; compared MFCC, LPC, and LPCC for feature extraction—MFCC yielded optimal results.

– Achieved 92% speech recognition accuracy using MFCC features; system deployed in real-time environment simulations. Education

University of Central Missouri – Master of Science in Computer Science Jan 2024 – May 2025 Jawaharlal Nehru Technological University, India – Bachelor of Science in Computer Science Aug 2019 - Apr 2023

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