I’m a Data Science graduate student at the University of Memphis, passionate about solving real-world problems with data. I specialize in Python, SQL, machine learning, and data storytelling to drive strategic impact and innovation.
I’m a Data Science graduate student at the University of Memphis with a background in Information Science and Engineering. I specialize in building data-driven solutions using SQL, Scikit-learn, TensorFlow, Tableau, and AWS.
Through internships at Teachnook and Brainovision, I developed predictive models, automated pipelines, and interactive dashboards that improved decision-making and efficiency. My key projects include Android Malware Detection and Municipal Debt Risk Prediction, both achieving high accuracy with real-world impact.
I’m passionate about solving problems with data, enhancing business outcomes, and continuously learning in the evolving AI/ML landscape.
Name: Fnu Abhijith
Email: abhijith@memphis.edu
From: Memphis, Tennessee, USA
Education: Master's in Data Science
A diverse toolkit across programming, machine learning, visualization, cloud, and communication.
Proficiency
Proficiency
Proficiency
Proficiency
Proficiency
Proficiency
Here are some of my recent projects that showcase my data science and machine learning skills.
ML & DL models to classify Android malware using static features. Achieved 99% accuracy and deployed using Flask.
Used real billing data and models like CatBoost and MLP to forecast bad debts. Achieved 100% AUC on validation.
Performed clustering on credit card data using KMeans and PCA to identify unique customer segments.
Developed ML models to predict cancer patient survival risk and identify key health features for prognosis.
Analyzed long-term climate trends using temperature datasets. Built visual dashboards to interpret shifts.
My professional journey, education, and skillset in Data Science.
Teachnook-(Bengaluru,India) • Jan 2023 - Jun 2023
Forecasted student performance with 85% accuracy using machine learning models (Scikit-learn, XGBoost). Conducted exploratory data analysis (EDA) to identify behavioral trends in learning engagement. Automated data pipelines to reduce manual prep time by 40%. Delivered actionable insights and visual reports to improve student satisfaction and retention.
Brainovision Solutions-(Bengaluru,India) • Sep 2022 - Nov 2022
Cleaned and analyzed datasets of 100+ student profiles, enhancing data quality by 20%. Built interactive dashboards in Tableau to visualize engagement trends, boosting program participation by 15%. Automated reporting using Python and Excel macros, saving 25% of reporting time. Collaborated with advisors and marketing teams to implement data-driven enrollment strategies.
University of Memphis • 2025 • GPA: 3.1
Focused on machine learning, big data, and cloud computing. Projects include Android Malware Detection and Municipal Debt Risk Prediction.
Don Bosco Institute of Technology • 2023 • GPA: 3.23
Built a strong foundation in algorithms, data structures, and software engineering practices.