ManojAnand Rajendiran
IT Professional
Professional Summary
+1 832 875 4754
rmanojananth@gmail.com
www.project-starfish.org
Certified Scrum Master and Product Owner with over 24 years of IT experience, specializing in Agile frameworks to foster collaboration and deliver high-quality products. Proficient in sprint planning, team coaching, and process optimization. Brings a strong software development background with expertise in front-end technologies, driving both technical and operational improvements.
Experience
June 2022 - Present
Intuitive Surgical - SantaClara, California - Scrum Master - React JS, Redux, Python, ASP.Net Web API, C#, SQL Server
April 2021 - June 2022
DGN Technologies - Charlotte, NC - Project Manager - Client - Intuitive Surgical
September 2019 - March 2021
Synechron Inc - Charlotte, NC - Project Manager
December 2018 - August 2019
Mphasis Corporation - Houston, TX - Project Manager
July 2007 - December 2018
Mphasis Ltd - Bangalore, India - Senior Software Engineer / Module Lead / Project Lead / Project Manager
April 2006 - July 2007
Indecomm Global Services - Bangalore, India - Software Engineer
October 2005 - April 2006
Inetframe Technologies - Bangalore, India - Software Consultant
April 2005 - June 2005
Shlok Labs - Coimbatore, India - Software Engineer
March 2004 - April 2005
Easy Design Systems - Coimbatore, India - Software Programmer
January 2002 - March 2004
Gangotri Textiles Ltd - Coimbatore, India - Software Programmer
June 2002 - December 2001
Ringmann Ltd - Coimbatore, India - Software Programmer
Education
August 2012 - April 2014
Sikkim Manipal Distance Education University | Masters in Business Administration - Project Management
January 2002 - December 2002
Indira Gandhi National Open University | Post Graduate Diploma in Computer Applications
1997 - 2000
Bharathiar University | Bachelors in Science in Computer Science
Certifications
November 2024
Certified Scrum product Owner, Scrum Alliance
January 2024 - September 2024
Artificial Intelligence & Machine Learning Model in Business Application, University of Texas - Great Learning
January 2021
Splunk 7.x Fundamentals Part 1 Certification, eLearning
August 2019
Certified Scrum Master, Scrum Alliance
Projects - AI/ML Course Projects
Source Code: https://github.com/mano1003/AIMLModels
Personal Loan Campaign
To predict whether a liability customer will buy personal loans, to understand which customer attributes are most significant in driving purchases, and to identify which segment of customers to target more.
- Analyzed data background and contents by Univariate analysis, Bivariate analysis and Feature Engineering.
- Build the model and improve the model performance by Post pruning and Pre pruning and check the performance of the pruned models, find the decision rules and check feature importance for the final model.
- Provided Actionable Insights & Recommendations to business with the key takeaways for the marketing team.
Credit Card Users Churn Prediction
Customers’ leaving credit card services would lead the bank to loss, so the bank wants to analyze the data of customers and identify the customers who will leave their credit card services and the reason for the same.
- Accomplished EDA, Data Preprocessing, build 5 models such as decision trees, bagging, boosting, XGBoost
- Build the Model using Oversampled data and Under Sampled Data and Model Performance Improvement using Hyperparameter Tuning using Randomized Search.
- Provided Actionable Insights & Recommendations to business with the key takeaways for the banking team.
Bank Churn Prediction
Given a Bank customer, build a neural network-based classifier that can determine whether they will leave or not in the next 6 months.
- Accomplished EDA, Data Preprocessing and Trained a Neural Network model with SGD as an optimizer.
- Build the model with Adam optimizer; Adam optimizer and Dropout; balanced data by applying SMOTE; SGD optimizer and SMOTE and Adam optimizer.
- Provided Actionable Insights & Recommendations to business with the key takeaways for the banking team.
Plants Seedling Classification
Build a Convolutional Neural Network model which would classify the plant seedlings into their respective 12 categories
- Performed an Exploratory Data Analysis and got the insights on the images by Plotting random images.
- Build the model with Adam optimizer; Adam optimizer and Dropout; balanced data by applying SMOTE
- Build CV model using data augmentation to overcome the imbalance problem.
- Evaluate the model on different performance metrics and Plot confusion matrix to choose the best model.
Support Ticket Categorization
Develop a Generative AI application using a Large Language Model to automate the classification and processing of support tickets. The application will aim to predict ticket categories, assign priority, suggest estimated resolution times, and store the results in a structured Data Frame.
- Load the dataset, build the model by loading the model from Hugging Face and create a function to define the model parameters and generate a response and apply the response generation function.
Awards Received
Mphasis Pillar Award - 10 Years Continuous Service.
3 times Mphasis Monthly Summit Award - Client Project Delivery Excellence.
My Quote: "You know you very well than others"
ManojAnand Rajendiran
IT Professional
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