Shell

SPARK X PROJECT-This is a mixture of Geospatial as well as general machine learning project.
   1. Sales Data Normalization - RSTS, GSAP and ADBLUE.(Completed)
   2. Waitros Sales Prediction (Complete)
   3. Sales Data Prediction (Non-Alcoholic Beverages,Tobacco,Phone Cards, Carwash, Perishables and Groceries)(Complete)
  4. NTS(New To Shell) Scoring for Total Fuel and NFR, Motorway(Completed)
  5. Format Recommendation (Done)
 Additional Project: Cannibalization Project for Thailand: This project is in a budding stage and I am the focal in this project. I have to deal with the network planners in Thailand. We are getting overwhelming response from the network planners. So this is going to become the NEXT BIG THING.
Additional Project: 2W-4W Clustering for UK, Hong Kong (Halted due to lack of Data)-> Type (Research Project)
Additional Project: Market Mixed Modelling Project: UK Chapter(Done)
                              Bayesian Inference for Regression Models ,Probability Programming using pymc3 (Research, Ongoing)

Data Scientist 

1. Sibyl US Project: This project focusses on building the recharge stations for electric vehicles using Alteryx, Python and QGis across 5 states of the US. (Done)
2. FinOptics - A rigorous Time Series Project (Done)
3. Assessing the eligibility of a particular commercial data for Singapore traffic. I am using Google Open Street Maps as well as Alteryx and QGis for this work.(Done)
4. Working on Hyperparameter Optimization optimality for XGBoost Algorithm and LGBM Algorithm in the regression context on one of our use case.(Done)
5. A challenging and an extremely complex geospatial project which aims to find an Optimal solution between a given point and all streets in a drive distance of 10 kms for a certain city of Germany.(Done)
6. Singapore EV Charging Network Data acquisition and fitness computation. This is an extensive work where we are leveraging upon Computational skills through Python and visualizations are through QGis. My work was mostly on squeezing out the EV parameters from the dozens of data in different formats collected. I am the second in command in this project.(Done)
7. France EV Charging Potential-> Similar to what has been done in Point 6, only the data and the parameters will vary and I need to adjust them according to our need. (Done)

Data Scientist(Geospatial)

TEOCO

Projects committed:
1. Churn Prediction in R on ACN dataset using standard algorithmic environment
2. Survival Analysis and risk analysis for the ACN dataset using Cox Mixture or Cure Model.
3.Web scrapping using selenium in Python to extract text data from different web links and dumping them into excel files for further analysis.
4. Worked on geospatial analytics
5. Created a bot using selenium for fetching email attachments from Outlook having .html extensions and using proper credentials going inside the Voltage Messaging System to decrypt email body and fetch its attachments and send it to respective sender. 
6. Worked on Social Network Analysis using Networkx in python
7. Worked on Big Data Analytics for Zain Telecom in Saudi in Pyspark.
8. Implemented clustering algorithms like Amoeba using Voronoi diagrams and Delaunay triangulations.
9. Committed a bidirectional encoder-decoder with attention RNN program in python to translate Spanish to English which replicates the google translator to some extent. This project was a part of an R&D project and I followed CS224n NLP lectures from Stanford University and committed every assignment. This course was conducted by Prof.Christopher Manning.
10.  Telecom Audit for Time Warner Cable using SQL and Alteryx.
11. Detection and Extraction of tables from Scanned images using Region Proposal Network and Convolutional Neural Network(Mask-RCNN on top of Tensorflow). Achieved more than 80% accuracy. 
Using a third party OCR software to read the extracted table and save it as an excel sheet.
12. Working on a complex RPA project series to automate Revenue Assurance system using selenium and opencv in python.
13. Federated Learning using PyTorch.
14. Robotic Process Automation Integration of TELUS portal with the claim center using client server communication between different instances of the same program.
15.Implementation of AES algorithm in Bot Integration to decrypt passwords.

Data Scientist

IHRE

Survival analysis of Cancer data aiming to obtain the unknown factor that would increase the probability of survival.

Data Analyst

দুর্গম গিরি কান্তার মরু দুস্তর পারাবার হে!
 লঙ্ঘিতে হবে রাত্রি নিশীথে, যাত্রীরা হুঁশিয়ার।।

Unassailable mountains, vast deserts impassable frontier. 
Determined to cross the darkness, travelers beware. 
                           - Warrior Poet, Kazi Nazrul Islam
  

Python Programming, Graph Algorithms, Geospatial Sciences, Graph Databases, Machine Learning, Deep Learning, Research on different areas of Applied Mathematics etc.

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