Data Science Power Bi

Avikshith Reddy

Dallas, TX +1-945-***-**** **********@***.*** LinkedIn GitHub

PROFESSIONAL SUMMARY

Results-driven Data Science proficient in Power BI, Python, SQL, Tableau, Storytelling, ML, Databricks, ETL, and Expertise in collecting and transforming data into actionable insights for customer engagement, Demonstrates keen attention to detail while supporting strategic forecasting and performance review. seeking to leverage hands-on experience in Data science, Business analysis.

TECHNICAL SKILLS

Analytical Skills: MS Power BI (DAX, RLS), MS Excel (Pivot Tables, VBA, Macros), Smartsheet, Tableau, Data Wrangling, Data Modeling, Data Visualization, Statistical Analysis, EDA, Seaborn, Plotly, Matplotlib, Dashboard Building, Statistical Model Building

Databases: MYSQL, SQL Server, T-SQL, dynamo DB

Tools: SAS, SAAS, Power Query, Anaplan, Git, GitHub, Google Suite, Microsoft Office 365, Google Analytic4, Snowflake, Azure Data Bricks, Pyspark, Looker. Cloud Technologies: AWS, Azure

Languages: Python (NumPy, Pandas, Sci-kit Learn), R, SQL Project Management: Agile, JIRA, SharePoint.

Other Skills: Qualitative and Quantitative research, A/B testing, Data Migration, Critical thinking, Communication Skills, Presentation Skills, Time Management, Teamwork, Organizational skills, Documentation, Problem-Solving, Cross-Collaboration.

WORK EXPERIENCE/ Certifications

VK Technologies LLC. (Client: Pfizer Inc, Philadelphia, PA) Aug 2024 – Mar 2025

Business Insights Analyst

• Demonstrated expertise in monitoring performance metrics and developing interactive dashboards to visualize key KPIs such as customer engagement, conversion rates, average order value, and product sales, driving informed marketing decisions. Streamlined reporting processes through automation, reducing manual workload by over 15 hours per week. Yogin Jan 2022 - Jan

2023

Data Analyst

• Monitored email performance using Google Analytics logs with Tableau Dashboard, resulting in a 30% increase in email campaign effectiveness.

• Established, monitored, and visually represented key performance indicators (KPIs) including customer engagement, conversion rates, average order values, and product sales.

• Developed automated reports using Excel VBA, saving 15 hours of manual work per week.

• Leveraged MySQL for efficient data collection, cleaning, and aggregation, reducing data preparation time by half. PROJECTS

Sales Performance Dashboard Power BI - Data cleaning, Data Transformation, DAX, Power Query Editor Developed an interactive, real-time Power BI dashboard to visualize key business metrics, business KPIs to support data-driven decision-making for stakeholders, to monitor performance indicators and make decisions with shareable insights. Database Design and Management (Dog Salon, Hospital Management, Rental Management)

• Designed 3 different databases from scratch using a Microsoft SQL server and successfully implemented functionalities which include joins, and views. analyzed query performance and architecture using schemas and advanced NF, handled window functions additionally performed remote database administration in Azure Data Studio. Python Job Market Analytics using Data Visualization Pandas, Seaborn, Matplotlib Analyzed global tech job listings using Python to identify top job titles, in-demand skills, and leading countries for opportunities. Utilized data cleaning and visualization tools to generate insights on hiring trends. Super Bowl Ad Analysis Machine Learning : Used Comprehensive data wrangling, exploratory data analysis (EDA), and visualization to uncover trends and insights related to ad spending, brand presence, and viewer engagement. A/Testing marketing – analysis:

• Conducted A/B testing on Facebook vs. Google AdWords campaigns using 2025 daily performance data to evaluate ROI, click- through rates, and conversion rates.

• Derived actionable insights to optimize ad spend by identifying the more cost-effective platform through statistical analysis and visualizations using Python.

Time-Series-Market-Stock analysis: Made comprehensive time-series analysis on stock market data using Python to assess volatility, return distribution, and investor risk profiles. Built dynamic visualizations to support strategic financial decision-making and concluded the best investment option.

EDUCATION

Southern Methodist University Master of Science, Computer Science (3.5/4) Dallas, TX

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