Apurva Mandalika

I'm

About Me

Hello! I'm a passionate Data Scientist and Data Analyst.

📚 Graduated from Texas A&M University with Master's in Computer Science degree.

💼 With a strong foundation in Machine Learning, Deep Learning, Data Analytics, and Augmented Reality, I bring over four years of professional experience at [24]7.ai, where I contributed to innovative solutions, including AR-driven customer support and predictive analytics.

📚 My B.Tech in Computer Science from Amrita Vishwa Vidyapeetham laid the groundwork for my technical expertise.

  • Academic Experience: 6 years in Computer Science
  • Industry Experience: 4+ years in Data Science
  • Technical Projects: 20+ Completed

Data Scientist & Data Analyst

Download Resume Explore My Blogs
  • Core Areas: Machine Learning, Deep Learning, Computer Vision, Data Analytics, Data Mining, Data Modelling, EDA
  • Libraries: PyTorch, Matplotlib, Seaborn, D3.js
  • Math: Calculus, Linear Algebra, Matrix Algebra, Statistics, Discrete Mathematics
  • Language: Python
  • Tools: Git, Excel,Tableau SQL Server, PostgreSQL
  • Platforms: Hadoop, Hive, Docker
  • Languages: Python, Java, Ruby, Swift
  • Tools: Git, Excel, SQL Server, PostgreSQL
  • Platforms: XCode, Hadoop, Hive, Docker
  • Frontend: HTML, CSS, JavaScript, React
  • Backend: Flask, Node.js, Ruby on Rails, Express
  • Editors: GitHub, VS Code

Skills

Skills I bring to the table:

Python
SQL
Data Mining
ML
Deep Learning
Tableau
ARKit
Swift
Java
Ruby on Rails
Git

Resume

Sumary

Results-oriented Data Scientist and Analyst with a 4-year professional track record, showcasing innovation and a commitment to meeting deadlines. Proficient in project management, demonstrated by successful execution even with minimal supervision. A dedicated learner, always eager to acquire new technologies and skills.

Education

Master's in Computer Science

Aug 2023 - May 2025

Texas A&M University, College Station, TX -- GPA: 3.9/4.0

B.Tech in Computer Science & Engineering

2015 - 2019

Amrita Vishwa Vidyapeetham, Kerala, India -- GPA: 9.35/10.0

Professional Experience

Senior Data Scientist

Jun 2022 - Jul 2023

Data Scientist

Jul 2020 - May 2022

[24]7.ai, Bangalore, India

  • Generated detailed ad hoc customer analytics reports, empowering stakeholders to make data-driven decisions.
  • Proposed and built a comprehensive Model Performance Tracking dashboard using Hive, SQL, and Python, that standardized evaluation processes for predictive models, resulting in a 40% increase in actionable insights for client model performance assessments.
  • Introduced and implemented AR-driven, video-based customer support solutions, improving customer problem resolution rates by nearly 50% compared to traditional chat or voice-based support.
  • Delivered multiple POCs and filed a patent for a novel feature in the USPTO.
  • Collaborated with cross-functional teams to integrate solutions into the company platform.

Analytics Consultant

Jul 2019 - Jun 2020

Analytics Consultant Intern

Jan 2019 - Jun 2019

[24]7.ai, Bangalore, India

  • Created Time On Page (TOP) Prediction Model and Page-Level Propensity to Purchase after Chat (P2PC) Model, increasing propensity to chat by 12% and conversion rates by 8%.
  • Leveraged SVM and Logistic Regression in Python to create TOP models, optimizing customer engagement metrics.
  • Conducted data cleaning, exploratory data analysis (EDA), and feature engineering using Weight of Evidence (WOE) and Information Value (IV) for P2PC, ensuring robust predictive power.
  • Used Hadoop, Excel, and FlashML to deploy scalable predictive targeting models, delivering actionable insights for diverse client use cases.

Achievements

  • Patent published with USPTO for ‘Method and System for providing Post-Interaction Assistance to Users’ PCT/IB2023/050635
  • Judge's Choice Award for 'Best Working Prototype' at [24]7.ai's Global Hackathon 2021 for developing a novel feature for Augmented Reality-based Video Call for Customer Support. Filed a patent for this feature with USPTO.
  • Received the 'Team Excellence - Super Trooper' Award at [24]7.ai's Global Annual Awards (2021).
  • [24]7.ai Best Employee - Above and Beyond (Team) award/appreciation for Q4 FY22 and Q2 FY23.
  • [24]7.ai Best Employee - Bravo (Individual) award/appreciation for Q3FY21.

Leadership and Teaching

  • Grader for Department of Mathematics at Texas A&M University, College Station, TX - Spring 2025
  • Graduate Assistant Teaching for Department of Mathematics at Texas A&M University, College Station, TX - Fall 2024
  • Member of planning and organizing committee for the [24]7.ai Annual Sports Championship - 2020
  • Helped onboard new members to the team at [24]7.ai and involved in knowledge transfer sessions.
  • Mentored a new team members with their Machine Learning projects during their internship.

Certifications

  • "Data Science Professional" offered by IBM on Coursera
  • "Andrew Ng's Machine Learning (using MATLAB)" offered by Stanford University on Coursera
  • "Sharad Borle's Introduction to Data Analysis Using Excel" offered by Rice University on Coursera
  • "The Complete ARKit Course - Build 11 Augmented Reality Apps" by Codestars on Udemy
  • "Augmented Reality using ARCore (Google’s AR platform)" on Coursera

Relevant Master's Courses

  • Artificial Intelligence
  • Data Mining and Analysis
  • Data Visualization
  • Machine Learning
  • Deep Learning
  • Sketch Recognition
  • Software Engineering
  • Analysis of Algorithms

Projects

My Projects

IBM Data Science Capstone (2025)

Developed an end-to-end ML project predicting SpaceX Falcon 9 landing success using real launch data, APIs, and dashboarding using Python, Pandas, Scikit-learn, SQL, Dash, Plotly, Folium.

Git Repo

Credit Card Fraud Detection (2025)

Used supervised and unsupervised models to detect fraudulent transactions using feature engineering, imbalance handling, and anomaly detection.

Git Repo

VitaFin: A Personal Health and Financial Data Visualization Dashboard (2025)

Created an interactive data visualization dashboard using Flask, Vue.js and Chart.js to track and analyze personal health and financial trends, enabling insightful comparisons against historical benchmarks.

Git Repo

Hong Kong Monthly Temperature Visualization Dashboard from 1997 to 2017 (2025)

Created a Matrix View dashboard to visualize the Monthly Temperature of Hong Kong, where the color of each matrix cell encodes the temperature and within each month, the daily trends of max and min temperatues are shown.

Git Repo

Intelligent Tutoring System for learning Mangolian script (2024)

Developed an Intelligent Tutoring System (ITS) with a DTW-based personalized feedback mechanism, providing both textual and visual feedback to enhance user learning outcomes. Observed an improvement in 70% of users.

Git Repo

Deep Learning Model for Image Classification (2024)

Designed a hybrid deep learning model combining DenseNet and ResNet architectures for CIFAR-10 image classification. Achieved an accuracy of 92.5%.

Git Repo

Development and Comparison of ML and DL Models for Image Classification (2024)

Developed Random Forest (44.97% accuracy), CNN (81.1%), and ResNet (83.6%) models to evaluate strengths and limitations on the CIFAR-10 dataset.

Git Repo

Multimodal Classification Model (2024)

Implemented a fusion model combining a CNN for image data and an ANN for audio data to classify the multimodal MNIST dataset and achieved a validation accuracy of 98.92%.

Git Repo

GPT for Text Generation (2024)

Implemented a decoder-only Transformer model on the SCAN dataset using PyTorch. The generation model will take a command sentence as input and output the corresponding action sequence.

Git Repo

Loan Eligibility Prediction Using Decision Tree and XGBoost (2024)

Developed a predictive model to determine whether a loan should be approved based on applicant financial and demographic data.

Git Repo

University Admission Prediction Using SVM (2024)

Developed a machine learning model using Support Vector Machine (SVM) to predict a student's chances of university admission based on academic and profile-related factors.

Git Repo

PCA vs AutoEncoder (2024)

Applied the PCA and the AutoEncoder (AE) to a collection of handwritten digit images from the USPS dataset

Git Repo

[Publication] Matrix Factorization within DBMS (2018 - 2019)

'Approximate query processing based on Matrix Factorization within DBMS', ICCCET - 19.

Data Management Application for Sealants Outreach Program - TAMU Dentistry (2023)

Developed a data management application for the Texas A&M School of Dentistry, streamlining data collection and data entry processes. Eliminated 100% of paperwork by digitizing workflows, improving efficiency and accuracy. Featured in Going Digital – the dentistry department's article about our work.

Git Repo

Augmented Reality based Video Call for Customer Support : Bot

Developed Customer side application with automated Augmented Reality based video support for bot-like visual cues using Agora and Apple's ARKit, thus avoiding the need of a live agent for resolution.

Augmented Reality based Video Call for Customer Support : Live Agent

Developed Customer side and Agent side iOS apps , a web-based Agent application, and a Call Scheduling Server to connect customers with available agents. An AR-based video calling (using Agora) application with interactive touch gesture rendering.

Prediction Model

Built a Time On Page (TOP) Prediction model for a client at [24]7.ai, increasing propensity to chat by 12%

Predictive Targeting Model

Built a Page Level Propensity to Purchase after Chat(P2PC) Model for 5 Pages for a client at [24]7.ai increasing the conversion rates by 8%.

Contact Me

Location:

College Station, TX, US

Call:

+1 (979) 739-6155