VISHNU VARDHAN NADENDLA
*****************@*****.*** 856-***-**** GitHub
Professional Summary
Innovative and results-driven Business Intelligence professional with expertise in interactive dashboards, analytics platforms, and real-time reporting tools. Proficient in Power BI, SQL, Python, Tableau, Excel with a passion for integrating business intelligence into impactful, data-driven solutions. My academic and personal projects showcase my ability to solve real-world business challenges across diverse domains such as Healthcare, Retail, and HR
Skilled in data storytelling, predictive analytics, and machine learning, with hands-on experience in web scraping and automation to support smarter decision-making. Known for crafting intuitive and insightful visualizations that resonate with business users.
EDUCATION
Rowan University Aug 2023 – Dec 2025
Master’s in computer science Glassboro, New Jersey
Hindustan University May 2017- June 2021
Bachelor's in computer science Chennai, India
TECHNICAL SKILLS
Programming/ Scripting Languages: Python, R, SQL, DAX.
Data Visualization Tools/Packages: Tableau, Power BI, MS Excel, SAS Viya, Google Sheets.
Databases: NoSQL (MongoDB), MS SQL Server (SSMS), Oracle, SSIS (ETL)
Other Skills: Statistics, Natural Language Processing (NLP).
WORK EXPERIENCE (2+-Years Experience)
Tata Consultancy Services Dec 2021 -June 2023
Junior Data Analyst Hyderabad, India
Results-driven Data Analyst with 1.5 years of experience in IT, specializing in transforming complex data into meaningful insights to drive business performance
Skilled in SQL, Python, and Java, with hands-on experience in data visualization using Power BI.
Proven expertise in database management, statistical analysis, and optimizing query performance.
Previously supported projects at Tata Tele Services, handling data extraction, change management, production deployments, and client reporting. Adept at working with tools like Oracle, MySQL, SSMS.
Urban Platter Food Chains May 2021 - December 2021
Data Analytics Intern Chennai, India
Analyzed sales and operational data to identify peak business days and optimal staffing schedules.
Assessed the impact of holidays and weather patterns on customer traffic, helping optimize inventory and raw purchases
Delivered actionable insights on shift planning and workforce allocation to improve operational efficiency.
Compared performance data across two regional branches, identifying patterns and customer preferences.
Enabled menu customization based on data-driven analysis, improving customer satisfaction and reducing waste.
PROJECTS
Customer Segmentation Using RFM And K means Data Visualization, Information Processing, POWER BI
•Conducted Revenue & Profitability Analysis using Power BI, SQL, and Python, identifying trends and revenue drivers for business growth.
•Built machine learning models in Python (Scikit-learn, Pandas) to forecast future revenue trends based on historical data.
•Designed custom Power BI reports & dashboards, providing data-driven insights for stakeholders & decision-makers.
•Automated ETL pipelines & API integrations for real-time data updates, improving reporting efficiency by 30%.
Patient Waiting List Analysis Dashboard Power BI (DAX, Excel)(Link).
•Developed an interactive Power BI dashboard to monitor and analyze Inpatient and Outpatient waiting lists across 5 years.
•Implemented dynamic DAX calculations (Avg vs Median Wait Lists) using SWITCH and VALUES for user-driven metric .
•Built responsive visual titles and no-data alerts using conditional DAX expressions like IF and ISBLANK to enhance usability and context.
•Designed summary and detailed views, allowing stakeholders to drill into KPIs by specialty, age group, case type, and monthly trends. Provided data-backed recommendations to optimize patient flow and resource planning, improving healthcare service efficiency
Magnificent 7 Market Cap Dashboard Power BI (DAX, Conditional Formatting, Data Visualization)(Link).
•Developed a visually dynamic Power BI dashboard that analyzes the market capitalization of the top 7 tech companies, providing comprehensive insights into their financial growth over time.
•Integrated interactive KPIs at the top of the dashboard, showcasing real-time market cap data, with intuitive filters and company logos using dynamic URL functionality and color formatting for a sleek, engaging user interface.
•Incorporated a 100% stacked bar chart that visualizes market cap growth per year, offering detailed insights into how each company’s market value has evolved over time.
•Introduced a unique stack explosion chart to represent market cap growth in a visually appealing manner, where the chart expands from the center as the market cap grows. This effect was achieved by using plug data, duplicating data points to center-align the chart and create an expanding effect.
Activities & Achievements:
Attended a one-day workshop on Machine Learning & Deep Learning at Anna University, Chennai.
Participated in a professional trading event covering live market simulations, technical analysis, and trading psychology.
Follow and learn from various stock focusing on improving decision-making and investment strategies.