You may never know what results come of your actions, but if you do nothing, there will be no results. M. K. Gandhi




Amandeep Jiddewar

570 W Dekalb Pike · King of Prussia, PA 19406 · (253) 245-6749 · jiddewar.amandeep@gmail.com

I go by name Aman.
I have over 7 years of professional experience spread across software development, research, big data, and analytics. I am bring business value using creative and cutting-edge predictive modeling, machine learning, and AI solutions. Experienced in converting publications to actual implementations.


Experience

Professional Full-time

Data Scientist

CertainTeed, Saint-Gobain

CertainTeed Corporation is a North American manufacturer of building materials for both commercial and residential construction and is a wholly owned subsidiary of Saint-Gobain
• Data Scientist in Advanced Analytics team.

August 2019 - Present

Senior Software Engineer, Business Intelligence and Analytics Team

eQ Technologic

• Enhanced performance and usability of widely used data table feature in eQube BI version 7.0.
• Reduced load on server for data table feature. (Java, JavaScript, Webservices, Optimization, Algorithms).

July 2017 - July 2018 (1 Year)

Senior Software Engineer, Software Security Team

eQ Technologic

• Unified the security module to provide seamless cross product usability and advanced authentication framework. (Refactoring, Continuous Integration, Software design, Java, Authentication, Agile, SQL).
• Automated test environment which reduced bugs rate in development cycle. (Jenkins, Clean code, Code coverage).

July 2016 - July 2017 (1 Year)

Senior Software Engineer, Data Profiling Team

eQ Technologic

• Created a generic schema discovery module across multiple databases and connections. (Algorithms, Databases, Feature discovery, Modeling).
• Led a team of 4 developers to create data-driven analytical solutions. (Big Data, Data Mining, Profiling, SQL, and Java).
• Auto discovery, correction, and review of data by formulating the key features of data profiling leading to 40% data correction before migration. (Data Modeling, Java, Clustering, Webservices, SQL, Data Analysis).
• Collaborated and communicated with cross-functional teams to finalize requirements, designs, and integration plans.

July 2011 - July 2016 (5 Years)

Client Capstone Project

Student - Data Scientist/Machine Learning Engineer

Knightscope

A US security technology start-up focused on creating self-driving technology using robotics and artificial intelligence.
• The project’s goal is to extract business intelligence from the hundreds of terabytes of information that the robots collect so as to achieve the company's vision of predicting and preventing crime.
• Awarded best MSBA client capstone project of 2019.

January 2019 - May 2019

Internships

Intern, Android Developer

Fervor Labs

• Designed and Developed Android App. BazzarDroid.(Android 2.2, Java, Google C2DM, Mapping).
• Aim of the App was to connect customers with the shopping mall owners.
• Coded the features such as navigation within shopping mall through dynamic floor maps, pushing offers to customers, and persistent storage of data.
• Demo:

August 2010 - May 2011

Education

Goizueta Business School, Emory University

Master of Science in Business Analytics
• Best capstone project 2019 batch | Student Ambassador | Merit-based scholarship.
• Machine Learning, Social Network Analytics, Marketing Analytics, Sports Analytics, Managing Big Data, Data Visualization, Decision Analytics and Optimization, Business Statistics.
July 2018 - May 2019

Pune Institute of Computer Technology, Pune University

Information Technology
• Algorithms and Data Structures, Object Oriented Modeling and Design, Theory of Computation, Operating Systems, Artificial Intelligence, Human Computer Interface, Information System Security, Database Management Systems, Distributed Systems, Mobile Computing, Programming Paradigms and Methodology, Microprocessor Systems, Software Engineering, Linear Algebra, Calculus.
August 2007 - June 2011

Projects

[ -- Click on the bullet point to open project -- ]

Natural Language Processing
  • Train a mortgages document classification model on obscured data. Each word maps to unique word in the document. Deploy the model to a public cloud platform, AWS, as a web service. (Python, Scikit-learn, Flask, AWS)
    Demo:
  • Topic Modeling of Amazon Reviews – Examined reviews from a few products within the Kindle Fire family and conducted topic modelling using LDA, LSA and PLSA models. (Python, AWS).
  • A REST based document parser - Shows the documents in folder and provides most common words and basic NLP on the document. (Python, Scikit-Learn, Flask, Javascript)
    Demo:

Neural networks
  • Created a human avoidance module for Robotic perception system using depth images from camera mounted on moving robot. (Python, Object Detection, OpenCV).
  • Baseball - Predict Next-Pitch – Use machine learning to predict what next pitch to expect from a pitcher. (TensorFlow, Python, AWS).

Machine Learning
  • Recommendation system to find similar users for an online courses website and serve results through webservices – Full data stack deployment. (Python, SQL, Flask).
  • Click through rate prediction – predicting whether a customer would click on a given ad. Looking at the original data, we had 32 million instances consisting of 24 anonymized variables designating various categories. Benchmark with various models for loglikelihood. R and AWS.
  • Soccer Club and Players network analysis and modeling – By examining the measure of centrality and conducting network analysis, this project identifies which connections with other players are the most important for a new player’s long-term success and which clubs are most likely to lead a player to the top clubs in the long run. R - iGraph, ERGM, and MySQL.

Big data
  • Managing Big Data - Manage Amazon's 160 million reviews on HDFS and do basic NLP on the data (Avro, Parquet, Pig, Hive, and Spark).
  • Parse NASDAQ ITCH5.0 files to calculate the average for all the stocks for last one hour, every time a trade is done. The code parses 4.43 GB file (~11 GB when extracted) in ~7 minutes. (Cython)

Data Visualization
  • Tableau Story of Immigration Data – Collect data and create story in tableau. Tableau, R, Dashboarding, and Data Cleaning.
    Demo:
  • Soccer Players Dashboard in Tableau – Create an interactive tableau dashboard. Tableau and Data Cleaning.
    Demo:
  • Life expectancy and the GDP over the years in the African countries. (Tableau, R)
    Demo:

Case study and other
  • United grain growers case study - Our team was regional finalist, PRMIA Risk Management Case Competition Challenge 2019.
  • BazaarDroid – The android app aims at connecting shopper and mall owners for creating a wonderful shopping experience. Android and MySQL.
    Demo:

Skills

Programming Languages & Tools

  • Scikit-Learn
  • TensorFlow
  • Spark
  • SQL
  • HIVE
  • Tableau
Workflow
  • Agile Development
  • Test Driven Development
  • Object Oriented Programming
  • Cross Functional Teams
  • Cross Browser Testing & Debugging

Core competencies
  • Fast prototyping
  • End-to-end solution building
  • Research

Awards & Certifications

    [ -- Click on the bullet point to open newsletter or certificate -- ]
  • Regional Finalist, PRMIA Risk Management Case Competition Challenge 2019.
  • Top-5 team at TAG FinTech Hackathon, 2018 – Team Leader.
  • Best MSBA client capstone project 2019.
  • Neural Networks and Deep Learning. Grade Achieved: 97.9%
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Grade Achieved: 99.2%
  • Structuring Machine Learning Projects. Grade Achieved: 100%
  • Convolutional Neural Networks. Grade Achieved: 97.3%
  • Sequence Models. Grade Achieved: 98.0%
  • Deep Learning Specialization.
  • CertainTeed Gypsum - Process Induction Course, Fort Dodge, IA.
  • GMAT 710, TOEFL 107.

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Interests

In my free time. I am an amateur long-distance runner. My last race was Khardung La Challenge, 72 Km Ultra Marathon, which is the world's highest running race at 16,000 ft above sea level. I am a 3:35 Marathoner and 1:41 Half-Marathoner.


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Videos I Like (Study)

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