Rajalakshmi Venkatachalam

Chennai

Summary

Accomplished Data Scientist with a passion for delivering valuable data through analytical functions and data retrieval methods. Committed to helping companies advance by helping them to develop strategic plans based on predictive modeling and findings. Bringing forth a proven track record of analyzing complex data sets and serving as a strong advisor with 14 years of experience in the IT industry.

Overview

years of professional experience

Certification

Work History

APPLICATION MANAGER

TATA CONSULTANCY SERVICES

Chennai

12.2010 - Current

Efficiently managed and prioritized product backlog, leading to a 20% increase in team productivity
Managed a cross-functional team of 15, resulting in an 80% increase in productivity
Forecasted and reduced operational costs by 20% through efficient resource allocation
Owned the planning and scheduling of two-week sprints and articulated the product vision to engineering, resulting in hitting 98% of the product goals defined at the beginning of the year
Worked closely with clients, business representatives, and developers to clarify use cases, resulting in a 20% boost in project efficiency

Education

BACHELOR OF ENGINEERING - COMPUTER SCIENCE

SETHU INSTITUTE OF TECHNOLOGY

MADURAI

05.2010

Secondary Education -

TVS LAKSHMI HIGHER SECONDARY SCHOOL

05.2006

Skills

Git
Data Analysis
Deep Learning/NLP
MySQL
MongoDB
Machine Learning
Python
Numpy
Pandas
TensorFlow
Scikit Learn

Tableau
PowerBI
Seaborn
MatplotLib
Image Processing
StreamLit
Project Management
StakeHolder Management
Agile
Scrum

Certification

IIT-M Advanced Programming Professional and Master Data Science
Safe Agilist
Certified Scrum Product Owner

Relevant Projects

Emotion Detection -Deep Learning
• Overview: Built Emotion Detection Application used to detect types of human facial emotions
• Objective: Deployed machine learning model using deep learning to help the customer to get detection based on the image uploaded.
• Action: Trained the model using the pretrained model of neural networks and also built a custom trained model ,exposed it to end users using streamlit,which
is the aim of the project
• Outcome: Achieved an accuracy close to 90% using pretrained model and 70% using the custom trained model.
Key Skills: Python,Numpy,Pandas,Streamlit,TensorFlow,CNN and Optimization techniques
Singapore Flat resale Prediction- Machine Learning
• Overview: Developed a Client prediction model using machine learning algorithms
• Objective: Deployed machine learning model to help the customer to get recommendation on the price based on other factors
• Action: Analyzed large datasets and Performed Exploratory data
analysis,Handled the outliers and skewness,identified the best algorithm for Prediction
• Outcome: Created the predictive model and achieved 96% accuracy and deployed the application in Streamlit using Render
Key Skills: Python,Numpy,Pandas,Streamlit,Exploratory data analysis,Random Forest Regressor,K means algorithm,Streamlit,Render
AirBNB Analysis-Tableau Visualization
• Performed in-depth analysis of AirBNB data to identify key statistics
• Utilized advanced statistical techniques and followed problem solving approach to identify the AirBNB Usage and policies
• Provided valuable insights into metrics, such as Bed availability, region, pricing,accommodation, and cancellation policy
Key Skills : Python,Pandas,Tableau,Seaborn and Matplotlib

Personal Information

Title: SENIOR DATA SCIENTIST

Timeline