VISHNU VARDHAN NADENDLA
*****************@*****.*** 856-***-****.
A Data Analyst With a passion for uncovering insights hidden in data and turning them into a Impactful stories. With hands-on experience in tools like Power BI, SQL, Python, Tableau and Excel, I’ve worked on the Academic and personal projects that demonstrate my ability to solve real-world business Challenges. Skilled in data Visualization, automation, and working with Large Data sets across various Domains like HR, HealthCare and Retail. I look forward to contributing with a strong analytical approach to a dynamic Team. where I can contribute to solving data challenges and delivering impactful results.
EDUCATION
Master of Science in Computer Science/ Rowan University 2023- 2025 (May)
Relevant Coursework: Predictive Analytics, Programming for Data Science, Cyber Security, Database and Datawarehouse Management. Machine Learning GPA: 3.60
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).
CERTIFICATIONS
Certified Microsoft Power BI Data Analyst (PL-300) with strong skills in dashboard creation, DAX.
Certified in Programming Every Day (Python) by the University of Michigan through Coursera.
Introduction to Data Analyst an online course authorized by IBM and offered through Coursera.
WORK EXPERIENCE (2+-Years Experience)
Junior Data Analyst – Tata Consultancy Services (Hyderabad India) December 2021 – June 2023
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.
Data Analyst Intern –Lunch Box Cafe. (Chennai Inida) May 2021 - December 2021
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
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.