Kanimozhi Ravichandran

Recent graduate with a Bachelor’s degree in Mathematics and completed courses on Data Science and hands-on experience in data analysis, statistical methods, and data visualization. Proficient in SQL, Python, and Excel, with strong problem-solving skills and a keen interest in leveraging data to drive business insights.

Data Visualization With Power BI, Great Learning

~Data Analysis
~SQL
~Data Visualization (Tableau, Power BI)
~Excel (PivotTables, VLOOKUP)
~Statistical Analysis
~Data Cleaning and Preparation
~NLP
~Machine Learning Algorithms: Supervised Learning (Linear Regression, Logistic Regression, Decision Trees), Unsupervised Learning (K-Means Clustering, PCA), Neural ~Networks (Deep Learning, CNN, RNN)
~Programming Languages: Python (NumPy, Pandas, Scikit-Learn, TensorFlow, Keras, PyTorch), R
~Data Manipulation and Analysis: Data Cleaning, Feature Engineering, Data Visualization (Matplotlib, Seaborn, Plotly)
~Tools and Frameworks: TensorFlow, Keras, PyTorch, Scikit-Learn, Jupyter Notebooks
~Statistical Techniques: Hypothesis Testing, Bayesian Methods, Time Series Analysis
~Data Handling: SQL, Data Integration and ETL

~Big Data Technologies: Hadoop, Spark
~Cloud Platforms: AWS Sage Maker, Google Cloud AI Platform, Microsoft Azure Machine Learning

~Power BI Projects: Visualizing IPL Teams Performance using Power BI

~Amazon sales data visualization using power BI
~Data Analysis using Excel
~Excel regression analysis
~Personal Budgeting using Microsoft Excel
~Uber Data analysis using Python
~Indian_education_system_EDA
~Indian_food_EDA
~Amazon top 50 selling books
~EDA on fifa
~EDA on Marvel superheros
~Food chat bot
~Moving object detection based on color
~Face emotion recognition,detection and tracking
~Hand gesture recognition
~Leaf disease detection
~Character recognition using pyQt45 GUI
~Label reading using OCR
~Attendance system with face recognition using DL and ML
~Vehicle detection and tracking
~License plate recognition
~Drowsiness detection
~Road sign recognition for autonomous vehicles
~Heart disease prediction
~Titanic survival prediction
~AI snake game
~Tag identification using NLP
~Email spam detection using NLP

* June 2024 – July 2024
   Artificial Intelligence at NoviTech R&D Private Limited., Coimbatore  

Created and worked on so many projects which includes AI and ML using the python libraries 

 * June 2024 – July 2024
   Data Analytics at NoviTech R&D Private  Limited., Coimbatore
Created and worked on so many projects which includes data analytics and visualization tools using the python libraries and sql.

* June 2024 – July 2024
   Data Science at British Airways, Chennai
Completed a simulation focussing on how data science is a critical component of British Airways success
 Scraped and analysed customer review data to uncover findings
 Built a predictive model to understand factors that influence buying behaviour

 * June 2024 – July 2024
   GenAI at BCG , Chennai
Completed a job simulation involving AI-powered financial chatbot development for BCG's GenAI Consulting team.
 Gained experience in Python programming, including the use of libraries such as pandas for data manipulation.
 Integrated and interpreted complex financial data from 10-K and 10-Q reports, employing rule-based logic to create a chatbot that provides user-friendly financial insights and analysis.

* June 2024 – July 2024
   Data Science at BCG ,
Completed a customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills, identifying essential client data and outlining a strategic investigation approach.
 Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualization techniques for insightful trend interpretation.
 Completed the engineering and optimization of a random forest model, achieving an 85% accuracy rate in predicting customer churn.
 Completed a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on the analysis.

 * June 2024 – July 2024
    Power BI at PwC, Chennai
Completed a job simulation where I strengthened my PowerBI skills to better understand clients and their data visualisation needs.
 Demonstrated expertise in data visualization through the creation of Power BI dashboards that effectively conveyed KPIs, showcasing the ability to respond to client requests with well-designed solutions.
 Strong communication skills reflected in the concise and informative email communication with engagement partners, delivering valuable insights and actionable suggestions based on data analysis.
 Leveraged analytical problem-solving skills to examine HR data, particularly focusing on gender-related KPIs, and identified root causes for gender balance issues at the executive management level, highlighting a commitment to data-driven decision-making.

* June 2024 – July 2024
   Data Analytics  at Quantium, Chennai
Completed a job simulation focused on Data Analytics and Commercial Insights for the data science team.
 Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights and deliver data-driven commercial recommendations.
 Extended analytical capabilities to identify benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making.
 Leveraged acquired data analytics and insights from previous tasks to create comprehensive reports for the Category Manager, facilitating informed strategic decisions and enhancing commercial applications.

 * June 2024 – July 2024
   Data Visualisation: Empowering Business with Effective Insights at Tata Group,
Completed a simulation involving creating data visualizations for Tata Consultancy Services
 Prepared questions for a meeting with client senior leadership
 Created visuals for data analysis to help executives with effective decision making

* June 2024 – July 2024
    Data Analytics and Visualization at Accenture, Chennai

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture
 Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions
 Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders