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Shuvo Barman

Data Analyst & Machine Learning Enthuasist

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About Me

Hello, I'm Shuvo Barman. Currently, I am pursuing my Masters in Computer Science at Memorial University of Newfoundland. I have a passion for technology and a deep-rooted desire to make a positive impact on society. My journey began as an Android Developer in a collaborative project aiming to improve maternal and newborn care. Witnessing the power of data in driving actionable insights and improving healthcare fascinated me. I then transitioned to Upay, a mobile financial institution, where I worked as a Data Analyst in the Revenue Assurance & Business Intelligence team. This experience solidified my commitment to data analysis and fueled my ambition to pursue a master's degree. I am fascinated by predicting the unknown, discovering patterns, and extracting valuable insights from complex datasets. I consider myself a dynamic individual with an insatiable thirst for knowledge and wisdom. Learning is integral to my nature, and I am always eager to expand my horizons and acquire new skills. I strive to push the boundaries of what is possible and contribute to the positive impact of technology on society.

Experience

UCB Fintech Company Limited

Data Analyst, Revenue Assurance & Business Intelligence

Visit Upay

  • Developed and maintained ETL pipelines using PostgreSQL and Python scripting to ensure seamless data extraction, transformation, and loading processes.
  • Created dashboards and visualizations using Redash and Tableau to communicate insights to customer care, marketing, sales, product, and tech operation teams.
  • Designed and implemented machine learning models for predictive analysis like customer churn prediction, customer next transaction prediction, and customer transaction pattern analysis.
  • Automated manual cashback system with Python script, reducing disbursement time from 24 hours to 30 minutes, resulting in a 25% decrease in customer complaints weekly.
  • Assisted marketing team in the preparation of customer lists for campaigning, ensuring customer segmentation and validating campaign offerings, which increased campaign transaction volume by 15% weekly.
  • Defined target group selection for product marketing based on specified criteria, thus increasing customer engagement by 12% weekly and winning back 10% of churn customers.
  • Programmed automated mail alerts and reporting systems with Python scripts to present financial insights in a clear and concise manner to stakeholders.
  • Assisted in preparing the campaign budget and forecasting process by analyzing previously launched campaign data and preparing reports.
  • Ensured compliance with financial regulations and reporting standards.
  • Communicated financial reports with visualization to present financial insights in a clear and concise manner to stakeholders.

    • Save the Children

    Java Programmer

    Visit MaMoni

    Worked in a collaborative project between USAID's MaMoni Maternal and Newborn Care Strengthening Project and the Directorate General of Family Planning (DGFP) Bangladesh as a Java Programmer (Mobile application).

  • Developed new software modules based on authorized SRS (Software Requirements Specification), encompassing interface, forms, database, algorithms, and coding.
  • Created comprehensive technical documentation for implemented software and database systems, ensuring clarity and ease of understanding for future reference.
  • Collaborated effectively with team members, utilizing version control systems such as Git to streamline modifications and assign tasks.
  • Worked closely with stakeholders to gather and analyze requirements, facilitating effective implementation in collaboration with system analysts.
  • Provided support to the project team, Government of Bangladesh, and various stakeholders in utilizing relevant technological tools, platforms, systems, and solutions.
  • Assisted the project team and system analysts in developing software implementation plans and schedules, ensuring efficient project management.
  • Conducted training sessions in 10 districts, training over 300 participants on the usage of the developed system, facilitating smooth adoption and utilization.

    • Enroute International Limited

    Java Programmer (Android)

    Visit MaMoni

    Worked in a collaborative project between USAID's MaMoni Maternal and Newborn Care Strengthening Project and the Directorate General of Family Planning (DGFP) Bangladesh as a Java Programmer (Mobile application).

  • Developed new software modules based on authorized SRS (Software Requirements Specification), encompassing interface, forms, database, algorithms, and coding.
  • Created comprehensive technical documentation for implemented software and database systems, ensuring clarity and ease of understanding for future reference.
  • Collaborated effectively with team members, utilizing version control systems such as Git to streamline modifications and assign tasks.
  • Worked closely with stakeholders to gather and analyze requirements, facilitating effective implementation in collaboration with system analysts.
  • Provided support to the project team, Government of Bangladesh, and various stakeholders in utilizing relevant technological tools, platforms, systems, and solutions.
  • Assisted the project team and system analysts in developing software implementation plans and schedules, ensuring efficient project management.
  • Conducted training sessions in 10 districts, training over 300 participants on the usage of the developed system, facilitating smooth adoption and utilization.

    • Dnet - a social enterprise

    Java Programmer

    Visit MaMoni

    Worked in a collaborative project between USAID's MaMoni Maternal and Newborn Care Strengthening Project and the Directorate General of Family Planning (DGFP) Bangladesh as a Java Programmer (Mobile application).

  • Developed new software modules based on authorized SRS (Software Requirements Specification), encompassing interface, forms, database, algorithms, and coding.
  • Created comprehensive technical documentation for implemented software and database systems, ensuring clarity and ease of understanding for future reference.
  • Collaborated effectively with team members, utilizing version control systems such as Git to streamline modifications and assign tasks.
  • Worked closely with stakeholders to gather and analyze requirements, facilitating effective implementation in collaboration with system analysts.
  • Provided support to the project team, Government of Bangladesh, and various stakeholders in utilizing relevant technological tools, platforms, systems, and solutions.
  • Assisted the project team and system analysts in developing software implementation plans and schedules, ensuring efficient project management.
  • Conducted training sessions in 10 districts, training over 300 participants on the usage of the developed system, facilitating smooth adoption and utilization.

    • H&M Bangladesh

    Information Technology Intern

  • Maintain daily event log on any systematic or operational issues impacting business.
  • Assist in resolving technical problems.
  • Requirement Gathering & Analysis from stakeholders.
  • Build a pilot mobile app.

    • Prochito ITS

    Android Developer (Trainee - Part Time)

  • Develop the UI of Amujamu Android App.
  • Assist Chief Android developer .
  • Prepare technical documentation for developed software and databases..
  • Worked with REST API.

    • Education

    Memorial University of Newfoundland

    Sept 2022 - August 2024 (Expected)

    Master of Science in Computer Science

    Visit MUN

    American International University - Bangladesh (AIUB)

    May 2014 - April 2018

    Bachelor of Science in Computer Science & Software Engineering

    Visit AIUB

    Extracurricular activity

    JAAGO Foundation

    Volunteer at The Great Kindness Challenge

  • Worked with local govt. to build and spread the culture of kindness.
  • Spread the awareness of Child Protection and child rights.

    • AIUB Computer Club (ACC)

    Assistant General Secretary Public Relation

    Visit ACC

  • Organized AIUB Girls Programming Contest 2017.
  • Lead a volunteer team of 70 while organizing AIUB CS Fest 2016.
  • Work alongside with faculty members and sponsors to schedule and host AIUB CS Fest 2016.
  • Organize AIUB Cyber Gaming Fest 2016 where more than 100 college students participated.

    • AIUB Computer Club (ACC)

    Assistant General Secretary Accounts

    Visit ACC

  • Prepare budget plan for AIUB CS Fest 2015.
  • Met with sponsors for raising funds for AIUB CS Fest 2015.
  • Work alongside with faculty members and sponsors to schedule and host AIUB CS Fest 2015.

    • The Asia Foundation and HiFi Public

    Volunteer at DHAKATHON

    DHAKATHON Article by The Daily Star

  • Worked with The Asia Foundation and HiFi Public core team to organize the Hackathon.
  • Helped the participants and organizers in setup.

    • Projects

    Amazon Beauty Product Recommendation

    Build a recommendation system based on amazon beauty product data, implemented rank based recommendation system using weighted function, item based collaborative filtering using KNNWithMeans, model based collaborative filtering using SVD, user based collaborative filtering using SVD, SVD++. Dealt with sparsity problem along with cold start problem. Evaluated implemented models with MAE, RMSE & precision metrics.

    View Project

    New York Airbnb Linsting EDA and Price Prediction

    Airbnb is a booking service for vacation rentals in which vacationers can book from an available list of user offered vacation rental services. This platform is the most popular service of its type and is used in over 193 countries and features more than 2 million individual properties. Goals: Investigate the features responsible for listing cost. Properly produce and evaluate a prediction model for listing cost.

    View Project

    Heart Attack Analysis & Prediction

    Heart Attack is a common medical problem and day by day people are in increasing risk of having Heart-Attack. Played around the dataset with Data Analysis Process and Prediciting the risk of Heart-Attack using KFOLD with Logistic Regression achiving 86% of accuracy.

    View Project

    Skills