About Me

Welcome to my digital space! I’m Adi Saha, a passionate Machine Learning and Data Analyst dedicated to transforming raw data into actionable insights. With a background in cybersecurity, computer forensics, data analytics, and specialization in Digital Marketing, I thrive at the intersection of technology and strategy.

Portfolio

My Experience

Project Lead at Project AUV Manipal

Machine Learning & Data science analyst, Indus Net. Technolgies

Portfolio

Project AUV is the official underwater robotics team of MIT Manipal. A dedicated group of engineering students who come together to design, build, and operate Autonomous Underwater Vehicles for various purposes, including defense, research, and exploration.

As the Project lead manager,
•Led a dynamic team in the successful development of autonomous underwater vehicles (AUVs).
•Oversaw project planning, scheduling, and resource allocation to ensure on-time milestones.
•Coordinated technical efforts, including design, integration, and testing of AUV components.
•Implemented safety protocols, resulting in accident-free AUV deployment and recovery.

• Developed and deployed machine learning models to predict customer churn, achieving an accuracy improvement of 15% over previous models.

• Analyzed large datasets using Python and SQL, identifying key trends and insights that informed marketing strategies and increased campaign ROI by 20%.

• Conducted exploratory data analysis (EDA) to uncover actionable insights, reducing operational costs by 8%.

• Presented findings and recommendations to senior management, leading to the implementation of three new business strategies.

• Managed project budgets and resource utilization, optimizing cost-efficiency.

• Demonstrated a commitment to cutting-edge AUV technology and its applications.

• Contributed to research publications and presentations, highlighting project achievements.

Vice President & Head of Graphic Design , Chords & Co. Manipal

Chords & Co. is the official music club of MIT that provides a platform to learn, grow and portray one’s skill as a musician. The club has grown into a family of over 550 members, which constitutes the working committee and Manipal's musical community.

As the Vice President,
•Led and inspired the club with a clear vision, fostering a thriving musical community.
•Successfully organized and managed music events, including concerts and workshops.
•Grew club membership through effective recruitment strategies, promoting inclusivity.
•Managed club finances, securing grants and sponsorships for successful operations.
•Advocated for music education and built partnerships within the local community.
•Served as a mentor, resolving conflicts, and nurturing future club leaders.

My Projects

Anomaly Detection in Network Traffic

Objective: Developed a system to detect anomalies in network traffic to enhance cybersecurity. Using Python, Scikit-Learn, Isolation Forest, K-means, SQL.

• Collected and preprocessed network traffic data, ensuring data normalization and transformation.

• Implemented unsupervised learning algorithms, including Isolation Forest and K- means clustering, to detect unusual patterns.

• Evaluated model performance using precision, recall, and F1-score metrics.

• Deployed the anomaly detection system in a real-time environment, integrating with the company's cybersecurity infrastructure.

Impact: Identified potential security threats, reducing response time to incidents by 25% and enhancing overall network security.

Sales Forecasting

Objective: Built a predictive model to forecast monthly sales and assist in inventory management Using Python, ARIMA, LSTM, SQL, Power BI.

• Collected and processed historical sales data, handling missing values and outliers.

• Performed time series analysis to understand trends, seasonality, and cyclic patterns.

• Implemented ARIMA and LSTM models to forecast sales, selecting the most accurate model based on RMSE and MAE metrics.

• Visualized the forecasted results using Power BI, providing actionable insights for

  the supply chain and inventory teams.

Impact: Improved inventory planning accuracy by 20%, reducing stockouts and excess inventory by 15%.

Customer Churn Prediction

Objective: Developed a machine learning model to predict customer churn and help the company retain valuable customers Using Python, Scikit-Learn, Pandas, SQL, Tableau.

• Gathered and cleaned data from various sources, ensuring data quality and integrity.

• Conducted exploratory data analysis (EDA) to understand customer behavior and identify key features.

• Implemented and compared multiple machine learning algorithms, including Logistic Regression, Random Forest, and Gradient Boosting.

• Deployed the best-performing model, achieving a 15% improvement in prediction

  accuracy over the existing model.

Impact: Enabled targeted marketing strategies, resulting in a 10% reduction in churn rate and a 5% increase in customer retention.

Packet Sniffing Project

Objective: Developed a robust Network Packet Sniffer for network analysis and protocol parsing. Implemented a Python-based tool using the Scapy library to capture, analyze, and log network traffic.

Designed and implemented filtering options based on IP addresses, port numbers, and protocols including TCP, UDP, and ICMP., providing users with the ability to selectively capture packets

Suffering from skill issues

Python

C#/C++/C

Javascript

HTML/CSS

Java

React / Next Node Flask / Django

SQL

MongoDB

Wanna talk?

Contact me with any questions or just to say a few nice words ... or mean ones. Up to you .... free will and all

© 2024 ADI SAHA