Akshaya V

Education

2023 - 2025

Master of Science in Computer Science with Specialization in Data Science

Cochin University of Science And Technology

Python for data analytics, R Programming, Statistical Analysis, Digital Image Processing, Machine Learning, Deep Learning, Big Data Analytics and Database management system.
Project: Anomaly detection in surveillance videos using Deep Learning techniques.

2020-2023

Bachelor of Science in Computer Science

University of Calicut

HTML5, CSS3, JavaScript, Python, Java, Mysql, Postgre-SQL, C programming, Android Programming.
Project: Vtrack - A Vehicle Management System

Work Experience

Dec 2024- May 2025

Data Science Intern

Thomsun Infocare

Analyzed over 3.7 million rows of FMCG sales data using Python, and time series techniques to identify trends, seasonality, and anomalies.
Implemented and compared forecasting models including ARIMA, Prophet, XGBoost, and Random Forest, achieving interpretable and scalable predictions.
Identified seasonal patterns and anomalies in historical sales data, enabling proactive decision-making to optimize revenue during low-demand periods.
Provided data-driven insights that influenced pricing and inventory decisions, reducing stockout rates by 10% and improving sales performance in underperforming regions.
Initiated groundwork for a follow-up module on Inventory Optimization based on predictive outputs.

Apr 2024- Aug 2024

Data Analyst Intern

iDatalytics

Conducted in-depth data analysis and visualization using Power BI, Tableau, and SQL to identify inefficiencies, increasing operational efficiency.
Designed and implemented a Power BI Inventory Analysis Dashboard, using historical data and advanced metrics to monitor stock levels and optimize inventory management and presented insights and reports to senior leadership to support strategic decision-making.
Automated complex data extraction and transformation using SQL scripts and stored procedures, cutting manual effort by 40% and increasing data accuracy significantly.

Skills

Python

80^%

SQL

90^%

Microsoft Power BI

85^%

Machine Learning

90%

Deep Learning

85%

Microsoft Excel

95%

R Programming

80%

Microsoft Powerpoint

95%

MongoDB

30%

HTML5

75%

CSS3

60%

Projects

Predictive Analytics for Revenue Forecasting and Sales Optimization

Github

Tools: Python 3, NumPy, Pandas, scikit-learn, seaborn, matplotlib, statsmodels, XGBoost, Facebook’s prophet

Overview: A project designed to provide insights into sales performance, forecast future sales, and manage inventory for an FMCG company.

Anomaly Detection in surveillance systems using Deep Learning

Github

Tools: Python 3, Google Colab, TensorFlow, Keras, CNN

Overview: A 3D Convolutional Neural Network(CNN) model built with TensorFlow and Keras to process video input and upon anomaly detection the system triggers an alert.

Inventory Loan Dashboard

Github

Tools: Microsoft PowerBI, Microsoft Excel

Overview: Provides insights into inventory levels, demand forecasting, supplier performance, and more, to optimize supply chain operations.

House Loan Dashboard

Github

Tools: Microsoft PowerBI

Overview: Provides insights into loan distribution, repayment status, borrower demographics, and more.

Akshaya V

An aspiring

About

About Me

Technical Skills

Education

Master of Science in Computer Science with Specialization in Data Science

Bachelor of Science in Computer Science

Work Experience

Data Science Intern

Data Analyst Intern

Skills

Python

SQL