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Resume

Experience

Jun 2024 – July 2024

HR Analytics Dashboard Development in Power BI

Brighton, United Kingdom

Developed a Power BI HR dashboard to evaluate employee demographics, performance metrics, and attrition rates, facilitating data-driven HR decisions.

  • Uncovered critical insights: Mean wage of $58,000 across diverse ethnic groups; identified higher attrition rates among frequent travelers (24.9%) and employees with five years of tenure (17.4%), enabling targeted retention strategies.

  • Enhanced performance tracking using advanced DAX functions (e.g., USERELATIONSHIP()), providing actionable insights that contributed to a 15% reduction in employee turnover.

Jun 2023 - Oct 2023

DetectAI: Web-Based AI Text Authenticity Checker

Brighton, United Kingdom

Orchestrated a system to detect AI-generated text within 50,000 chatbot interactions, integrating OpenAI's dataset to enhance data security and minimize exposure risks. Improved text classification accuracy by 40% through machine learning models using Naive Bayes, SVM, and XGBoost.

  • Reduced exposure to AI-generated text by 89%, safeguarding communication integrity.

  • Pioneered robust machine learning models, setting a new standard for AI text detection efficacy.

Education

2022 - 2023

University of Sussex

Master's in Data Science

Brighton, United Kingdom

Completed advanced coursework in machine learning, data analysis, and data visualization. Gained hands-on experience with tools like Python, SQL, and Power BI. Developed projects focusing on predictive modeling, statistical analysis, and interactive dashboard creation.

2017 - 2021

Nitte Meenakshi Institute of Technology

B.E in Information Science and Engineering

Bangalore, India

Built a strong foundation in programming, databases, and software engineering. Applied knowledge to data-driven projects involving database design, algorithms, and exploratory data analysis.

Professional skillset

Programming & Frameworks:

  • Python (Data Analysis, Pandas, NumPy, SciPy)

  • R (Statistical Analysis)

  • SQL (Advanced querying, joins, window functions, stored procedures)

Machine Learning & Data Science:

  • Predictive Modeling, Classification, Regression, Clustering

  • Time Series Forecasting, Exploratory Data Analysis (EDA)

  • Algorithms: XGBoost, Scikit-learn, TensorFlow

Data Visualization:

  • Power BI (Advanced DAX, Power Query, Data Modeling, RLS)

  • Tableau, Matplotlib, Seaborn

Databases & Big Data:

  • PostgreSQL, Snowflake, NoSQL

  • Apache Spark (Big Data Analysis)

Cloud Platforms:

  • AWS SageMaker

  • Microsoft Azure

  • Google Cloud Platform (GCP)

Tools & Libraries:

  • Git (Version Control)

  • Microsoft Excel (Advanced Functions, Data Analysis)

Statistical Analysis:

  • Hypothesis Testing, A/B Testing, Multivariate Testing

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