Akshey Singhal

1881 Brunswick Street · Halifax,NS B3J3L8 · +1-(647)809-5629
Masters in Computing & Data Analytics at SMU

  • A self-motivated, analytical & dexterous professional with a broad spectrum of domain expertise
  • Extensive experience in interpreting and analyzing data for driving business solutions.
  • Highly pragmatic and emphasize using creative thinking to build and implement while working cohesively with others to increase profitability.
  • Passionate about deep learning and automated solutions that help the clients to leverage the power for optimal business decisions.

    • Experience

    Big Data Engineer

    RBC, Bedford,NS,CANADA

    • Responsible to collaborate with various team & management to understand the requirement & design the complete system for Data ingestion and engineering patterns in Hadoop utilizing Spark.
    • Involved closely with client success team to explore recognition/engagement data and improve data reliability, efficiency that relates to customer data and business metrics.

    August 2020 - Present

    Data Scientist

    Waterford Energy Services/Subsea Inc., Halifax, CANADA

    • Performed EDA to identify KPI's and implemented clustering on vehicles generated telematics sensor data. Incorporated Plotly to generate actionable insights with impactful visualization.
    • Implemented the document layout detection model to leverage the data retrieval from historical reports and scanned documents.
    • Designed text processing pipeline that identifies, processes and extracts text from historical documents and stores metadata in NoSQL.
    • Inspired the adoption of visualization by generating value from data through interactive dashboards using Tableau.
    • Gained knowledge of upstream operations in oil and gas domain.

    February 2020 - July 2021

    Graduate Research Assistant (Part-Time)

    Saint Mary's University, Halifax, CANADA

    • Analyzed 1M+ website snapshots to understand the Green Washing trend of 5000+ companies.
    • Created Blank Classifier to Bifurcate the blank and non-blank images.
    • Built a Neural network-based (CNN) Object Detection model to predict the company’s environmental violation status from their website snapshots.

    January 2020 - April 2020

    Analyst

    Momenttext, Noida, INDIA

    • Developed end-to-end scalable machine learning solutions and deployed them using Python Framework (Django) for the clients.
    • Built and hosted ML service endpoints (REST APIs) on AWS using APACHE web-server. Utilized databases including MySQL and MongoDB.
    • Created rich interactive graphs and data visualizations of structured data in R , Python and Tableau.
    • Experienced implementation of machine learning and NLP techniques on different projects.

    April 2018 - June 2019

    Sustaining Engineer

    Finxera, Chandigarh, INDIA

    • Provided expert level troubleshooting & analysis methods and also research & development of solutions to new issues for the seamless running on Production Environment.
    • Hands on experience on writing SQL queries, PL/SQL stored procedures, reconciliation of financial data.
    • Experienced working in Finance domain database layer.
    • Created and automated reports along with user acceptance testing/manual testing

    September 2016 - August 2017

    Projects

    Address Validator & Classifier

    Graduate Course Work

    • Developed a classification model to classify civic addresses as Residential or Non-residential.
    • Performed real-time web scraping to supplement the prediction.
    • Algorithm Implemented - Random Forest
    • Tools & Libraries Used: Python, NLTK, BeautifulSoup,Sklearn, Numpy and Pandas

    November 2019 - November 2019

    Text Similarity and Information Retrieval

    Personal Project

    • Extracted the names State, District, City and Zip Code from address data using NLTK.
    • Performed similarity of addresses using fuzzy string matching.
    • Tools & Libraries Used: Python, Fuzzy String Matching, NLTK.

    December 2018 - December 2018

    Optical Character Recognition (OCR) of Invoices

    Personal Project

    • Implemented image preprocessing steps like Rescaling, shadow elimination, dilation and erosion to remove noise.
    • Recognition and extraction of text from invoice images.
    • Tools & Libraries Used: Python, Pytesseract, OpenCv and Numpy.

    November 2018 - November 2018

    Employee Churn Data Analysis and Prediction Using Ensemble Method

    Personal Project

    • Performed data analysis and exploratory visualization on employee churn data in Python.
    • Understanding of feature importance and building ensemble model to predict attrition
    • Evaluated machine learning models performance.
    • Tools & Libraries Used: Python, ML Algorithms, Matplotlib, Sklearn, Numpy and Pandas

    October 2018 - October 2018

    Visualization of Employee Churn Data in R

    Personal Project

    • Created with R Markdown in R Studio and the library used for constructing the plots is "ggplot2".
    • A visualization report has been generated using the “Knit” in R Studio.
    • Tools & Libraries Used: R , ggplot2, ggmodels.

    June 2018 - June 2018

    Education

    Saint Mary's University, Halifax

    Master of Science - Computing & Data Analytics

    Relevant Courses

    • Statistics & its Application in Business
    • Business Intelligence and Data Visualisation
    • Software Development in Business Environment
    • Data and Text Mining

    September 2019 - Present

    Chitkara University

    Bachelors of Engineering - Computer Science

    Relevant Courses

    • Data Analytics
    • Advanced Database Management System
    • Data Structure and Algorithm Design

    August 2013 - May 2017

    Skills

    Programming Languages
    • Python
    • R
    • Structured Query Language
    • HTML
    • Base SAS

    Databases & Data Storage System
    • MYSQL
    • MongoDB
    • Elastic Search
    • PostGre SQL

    Web Framework
    • Django

    Deep Learning or ML Framework
    • TensorFlow
    • Pytorch

    Data Analytics
    • Pandas & Numpy - Data wrangling and cleaning
    • Scikit Learn - Data modelling using Machine Learning algortihms
    • NLP & Spacy - Text Analytics
    • Beautiful Soup & Scrapy - Data scraping from the web

    Data Visualization
    • Tableau
    • Plotly
    • Matplotlib
    • ggPlot2

    Big Data & Streaming Tools
    • Kafka
    • Spark

    Versioning Tool
    • GIT

    Operating System
    • Linux
    • Windows

    Cloud Services
    • AWS
    • Azure

    Deployment & Containerization
    • Docker

    Server
    • Apache Server

    Interests

    Apart from being a data science enthusiast, I enjoy spending my time being outdoors.I like exploring new places and meeting new people. I also like photography, specifically nature and landscape photography. Also as an active sociable individual, I enjoy staying fit and going to the gym.

    Here check out my photography

    When forced indoors, I follow a number of latest movies and television shows, I like cooking new delicious recipes, and I utilize a large amount of my free time by taking up the MOOCS to enhance my skills and understanding.

    Honors & Awards

    • Won Special Award - Nova Scotia Open Data Contest 2020 (Mar 2020)

      • Our team 'Nova Health' presented the solution for the healthcare system of Nova Scotia. We visualized and predicted the need of medical human resources in NS hospitals by examining trends and demographics of the prevalent diseases.

    • Achieved 3rd Place for Best Infographic - University of New Brunswick, Fredericton - 4th Data Visualization Challenge (Nov 2019)

      • Our team "Root of Life" focussed on 2030 Sustainable Development Goals and addressed the problem of Climate Change due to Emissions in Canada through visualization.

    • Runner Up Address Enrichment for Integrity - Service Canada (Nov 2019)

      • Proposing technical idea to accurately identify and categorise the address as residential or commercial, that would help in confirming and granting claimed benefits from Service Canada.

    • Elected as a VICE CHAIRPERSON of WIE Society - Chitkara University- IEEE Women In Engineering Student Chapter Chitkara University (Jan 2015)

      • Organized coding event 'Pirates of Silicon Valley' and 'Sixth Sense Technology' workshop at University level to disseminate knowledge.

    • Awarded Certificate of Appreciation - International Youth Fellowship - Chitkara University (Sep 2013)

      • Hosted delegation from various parts of the world. Worked in a team with specific goals and tasks of responsibility on a consistent basis.

    Certifications