ANESHA NAGARAJAN

Data Science and Digital Analytics Professional with 6 Years of Experience specializing in data analysis, predictive modeling, and SAP implementation. Skilled in leveraging Python, Google Analytics, and advanced statistical tools to optimize business processes and develop impactful data-driven solutions. Proven ability to transform complex datasets into actionable business insights, enhancing operational efficiency. Adept at collaborating across teams, with a strong focus on innovation and data-driven decision-making.

Microsoft: Classifying Cybersecurity Incidents with Machine Learning

• In November 2024, the project involves enhancing the efficiency of Security Operation Centers (SOCs) by developing a machine learning model that can accurately predict the triage grade of cybersecurity incidents
• Utilizing the comprehensive GUIDE dataset, our goal is to create a classification model that categorizes incidents as true positives (TP), benign positives (BP), or false positives (FP) based on historical evidence and customer responses
• Data Preprocessing and Feature Engineering
• Machine Learning Classification Techniques
• Model Evaluation Metrics (Macro-F1 Score, Precision, Recall)
• Cybersecurity Concepts and Frameworks (MITRE ATT&CK)
• Handling Imbalanced Datasets
• Model benchmarking and optimization

Car Dheko - Used Car Price Prediction

• In October 2024, a data scientist is to develop a machine learning model that can accurately predict the prices of used cars based on these features. The model should be integrated into a Streamlit-based web application to allow users to input car details and receive an estimated price instantly
• The processes involved in this project are
• Data Cleaning and Preprocessing
• Exploratory Data Analysis
• Machine Learning Model Development
• Price Prediction Techniques
• Model Evaluation and Optimization
• Model Deployment
• Streamlit application development
• Documentation and Reporting

DataSpark: Illuminating Insights for Global Electronics

• In September 2024, I did a project by analyzing Global Electronics' customer, product, sales, and store data; we aim to identify key insights that will enhance marketing strategies, optimize inventory management, and improve sales forecasting
• Data Cleaning and Preprocessing, EDA, Python, Data Management using SQL, Power BI/Tableau

Web scraping on the Red Bus website in Chennai

• In August 2024, I completed a mini project using Selenium for web scraping
• I did a mini project with Selenium, which is used for web scraping, and I created a customized and interactive web application using Streamlit

Data science capstone 01/2023 - 06/2023

• In this project, SpaceX advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, and much of the savings is because SpaceX can reuse the first stage. Therefore, if we can determine whether the first stage will land, we can determine the cost of a launch
• This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. In this lab, you will create a machine learning pipeline to predict whether the first stage will land, given the data.
• I did data collection, data cleaning, data visualization, and data analysis using SQL; folium interactive map representation was done, a Plotly interactive dashboard was created, and predictive analysis was done using statistical models
• Their performance is also measured using accuracy, F1 score, and confusion matrix. Among them, the best model is chosen for predictive analysis

Data Science Project, 01/2022 - 06/2022

• The project consists of 20,000 movie datasets. Implementing data mining and predictive modeling techniques, we analyzed and predicted whether it was a drama genre or not. Exploratory Data Analysis (EDA) is done by
• Data collection from an open source
• Data cleaning involves dimension reduction
• Data wrangling
• Data analysis, and
• Data visualization
• Visual analytics
• Model generation and evaluation metrics

Python project, 01/2021 - 06/2021

• We did a project on a list of 500 movies from various genres to analyze how many times each director appears in these top 500 movies
• Calculate their cosine similarity, and determine which directors work with similar groups of actors and actresses
• Pick 5 of your actors and actresses from the top 500 movies and calculate using data manipulation steps

Design of Advanced Six Levels of Security for ATM/Credit Card Usage 01/2014 - 06/2014

• In this project, we are going to implement a new technology to enhance the security and safety of using an ATM card for cash withdrawing
• The person who missed the ATM card can withdraw money from the ATM by using this technology, and simultaneously block the card
• The security and safety of the system are enhanced by conforming to and answering the security questions and biometric signal verification; this will be provided in the bank application

• IBM Data Science Professional Certificate
• Oracle Certificate: Generative AI
• SQL HackerRank advanced certificate
• SQL HackerRank intermediate certificate
• SQL Hackerrank Basic Certificate