Copyright 2024 ©SpringCube Asia.
About me (Registered since 02/04/2025)
Experienced Data Scientist/Engineer specializing in creating Data Engineering Solutions, Time Series
Analysis and Forecasting, seeking a challenging role. Dedicated to leveraging extensive digital data to
drive forecasting initiatives, inform strategic decisions, and contribute to digital growth.
Skills
Tech Skills
Education
- December 2019 - December 2022
- August 2015 - August 2017
Work Experience
-
May 2024 - Present
Tredence Analytics, India
Associate Manager
Project 1 – BFL Group (24 May 2024 – till date)
Role – Associate Manager (Data Engineering)
Description -> BFL Group is a retail project from UAE. Below are my day to day responsibilities.
Technology -> Python, SQL, Pyspark, Bigquery, Composer, Dataflow, Batch, Scikit-learn, CICD, POCs,
Looker Studio, Cloud run, Cloud build, Pubsub, Power BI
• Working on Data Modeling, ETL Batch, Realtime PIpelines and CICD using Cloud run and build.
• Created Automation framework to automate ETL pipeline.
• Created factory codes for Source to BQ and BQ to BQ data ingestions.
• Working on BQ ML and Spark ML based Regression Models and representing in dashboards using PBI.
• Collaborate with key stakeholders to analyze and forecast digital business trends using time series
techniques.
• Work closely with data engineering, analytics engineering, and business intelligence teams to ensure
seamless data integration and analysis.
• Translate business needs from various teams across web, streaming, and social into data-driven solutions.
• Monitor and validate model performance continuously, ensuring accuracy and relevance in a dynamic
digital landscape.
• Present findings and insights to stakeholders, providing actionable recommendations based on thorough
analysis. -
July 2022 - May 2024
Telus International, India
Lead Data Engineer
Project – Telus Communications
Role – Lead Data Engineer
Description -> Telus Communication is a Canadian Telecommunications organization. Below are my day
to day responsibilities.
Technology -> Python, SQL, Pyspark, Bigquery, Composer, Dataflow, Batch, Scikit-learn, CICD, POCs,
Looker Studio, Cloud run, Cloud build, Pubsub, Kafka, Glue
• Working on Data Modeling, ETL Batch, Realtime PIpelines and CICD using Cloud run and build.
• Worked on AWS Glue for creating some crawlers and ETL jobs.
• Created Automation framework to automate ETL pipeline and SRE pipeline.
• Created factory codes for GCS to BQ, BQ to BQ, SRE Framework and BQ to Onprem data ingestions.
• Working on BQ ML and Spark ML based Regression Models and representing in dashboards using Tableau.
• Creating Statistical models using pandas and scikit-learn and using Looker Studio to visualize the results.
• Collaborate with key stakeholders to analyze and forecast digital business trends using time series
techniques.
• Work closely with data engineering, analytics engineering, and business intelligence teams to ensure
seamless data integration and analysis.
• Translate business needs from various teams across web, streaming, and social into data-driven solutions.
• Monitor and validate model performance continuously, ensuring accuracy and relevance in a dynamic
digital landscape.
• Present findings and insights to stakeholders, providing actionable recommendations based on thorough
analysis. -
October 2021 - July 2022
Capgemini, India
Software Engineer
Project – Loreal Space Hongkong
Role – GCP Data Engineer
Description -> Loreal Space is a Hongkong based Beauty product organization. Below are my day to day
responsibilities.
Technology -> Python, SQL, Pyspark, Bigquery, Composer, Dataflow, Batch, BQ ML, CICD, POCs, Looker
Studio, Cloud run, Cloud build, Cloud Spanner, Cloud SQL, Pubsub, Kafka, Power BI
• Worked on Data Modeling, ETL Batch, Realtime PIpelines and CICD using Cloud run and build.
• Worked on BQ ML and Spark ML based Regression Models and represented in dashboards using Python.
• Created Python/Flask based APIs, CICD using Cloud run and build.
• Creating Machine Learning Models using Regression and Classification Algorithms
• Collaborated with Client (Loreal Space, Hong Kong) Analytics team to build ETL solutions.
• Setup Monitoring and Alerting on the different solutions I created in a real time manner. -
June 2020 - October 2021
Bharti Airtel, India
Software Engineer
Project – Airtel Thanks for Business
Role – GCP Devops & Data Engineer
Description -> Bharti Airtel is Indian Telecommunications Organization and Aitel thanks for business is
the ecommerce like platform for airtel customers where they can manage and monitor all of their
profiles. Below are my day to day responsibilities.
Technology -> Python, SQL, Bigquery, Looker studio, composer, cloud run, cloud build, Pyspark, Jenkins,
Zabbix, Grafana, ELK, NLTK, Seaborn, Plotly, Pubsub, Kafka, MySQL, MongoDB
• Creating Automation and Telegram Chatbot using NLTK
• Dashboarding and Monitoring using Zabbix, Grafana, ELK
• CICD using Jenkins
• Creating Real Time ETL PIpelines
• Deployment on AWS
• Datawarehouse used – Redshift, Datalake used – S3
• Data Analysis using numpy and pandas and representing them using seaborn and plotly.
• Automation Script for Zero Customer Issues, Chatbot functionality
• Visualizations, Dashboards for anomaly detection and monitor server and application matrices
• Alerting, Crons, DB Backup, Log purge, RCA and CAPA
• Implemented Anomaly Detection algorithm to capture issues in the applications -
August 2017 - May 2020
Jindal Motors Pvt Ltd, India
Software Engineer
Project 1 – Intruder Detection
Role – Data Scientist
Description -> In this project, we have installed the cctv camera on premise and I have created the
software part which was detecting the intruders if any.
Technology -> Python, SQL, Kafka, scikit-image, Opencv, Cloud spanner
Project 2 – Trivago Analysis
Role – Data Analyst
Description -> In this project, we have collected the data from trivago website and did analysis and
represented that on maps and corresponding dashboards.
Technology -> Python, SQL, Kafka, PowerBI, flask, django, plotly
Project 3 – Discord bots
Role – Chatbot developer
Description -> In this project, I have created gaming bots for discord and integrated github to get the
updates from the github such as failures/success of CICD, push/pull of data.
Technology -> Python, Discord, NLTK, Github, MongoDB
Day to Day Activities ->
• Stock market website showing current trends and their analysis and future predictions
• Collaborate with key stakeholders to analyze and forecast digital business trends using advanced time
series techniques.
• Work closely with data engineering, analytics engineering, and business intelligence teams to ensure
seamless data integration and analysis.
• Translate business needs from various teams across web, streaming, and social into data-driven solutions.
• Develop and refine predictive models, enhancing decision-making processes within the organization.
• Monitor and validate model performance continuously, ensuring accuracy and relevance in a dynamic
digital landscape.
• Present findings and insights to stakeholders, providing actionable recommendations based on thorough
analysis.
