Data Science Power Bi

Nikesh Shah

+1-224-***-**** *************@*****.*** LinkedIn

EDUCATION

Loras College, Dubuque, IA. B.S., Computer Science, Data Science, & Mathematics (May 2025) • GPA 3.9/4.0 SUMMARY

Highly analytical and solution-oriented individual with proven expertise in data analysis, predictive modeling, Data Engineering, with a strong foundation in Python, Power BI, Tableau, SQL, and R environments. Highly motivated individual as shown through Data Science researcher and IT intern role during the last year of bachelors while maintaining a 3.9 GPA. EXPERIENCE

Data Scientist & AI Researcher SoundSafe.ai Dec 2024 – Present

Engineered a web scraping solution using python for efficient data collection & labeling of POIs, saving company hours on data acquisition, ensure data quality along with data governance & compliance.

Created an end-to-end ELT pipeline that ingests and returns a segmented audio signals to be fed into the Deepfake detection model.

Data Analyst Intern City of Dubuque May 2024 –Dec 2024

Performed Exploratory Data Analysis (EDA) and Principle Component Analysis (PCA) on public-census data ETL & automated QA test cases, ensuring 100 % data accuracy before visualizing.

Built Power BI dashboards using the census data for weekly city webinars, to help make informed decision for the economic development of the city.

Information Technology Intern City of Dubuque Dec 2022 – May 2024

Automated laptop imaging and deployment with PowerShell + SCCM, reducing employee-onboarding downtime 30 % and freeing 10 hrs/month of IT staff effort.

Curated SQL reports tailored to ERP ticket requests, utilizing tools like MS Access, on cloud data present in our Tyler cloud.

PROJECTS

Asset Price Prediction model: Pulled, cleaned, and calculated 30+ financial ratios and predictors from time-series financial data (10-K report); Used advanced excel formulas (VBA) and pandas to prepare the data; Random Forest performed the best out of 4 models created.

Computer Vision Crowd count & density heatmap model: Built it using CSRNet CNN reaching upto 88% accuracy.

Unity Video-Game Chatbot: Led 5-member Agile team (Jira) integrating GPT-4 API chatbot into Unity.

Facial Emotion Detection: Applied transfer learning (TensorFlow, Keras) on FER-2013 achieving 80 % accuracy; deployed real-time webcam demo with OpenCV. Skills

Languages: Python, SQL, R, C++, C#

Tools: AWS (Lambda, S3, EC2), Hadoop, Git, REST APIs, Selenium, SnowFlake

Analytics & Viz: Pandas, NumPy, Power BI, Tableau, EDA, Excel

Methodologies: Data Forensics, Statistical Testing, Time-Series Forecasting, Agile/Scrum, Jira LEADERSHIP & AWARDS

Sigma Phi Epsilon – Vice President of programming (2024–Present)

Delta Epsilon Sigma National Honor Society (2024)

Certification: AI & Machine Learning, Data Science Bootcamp (2025)

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