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Bappaditya Shome

India **********

Updated on : 26-Sep-2023

Resume Headline

Associate Data Scientist @ P360 | M.Tech (AI & ML) '23 @ BITS WILP | ex-JRF @ IIT Guwahati | Spiritual minded

Skill Set : Analytical Skills, Reinforcement Learning, Exploratory Data Analysis, Linear Algebra, Neural Networks, Random Forest, Support Vector Machine (SVM), Digital Signal Processing, Image Analysis, Signal Processing, Python, Scikit-Learn Natural Language Processing (NLP), NumPy, Data Analysis, Decision Trees

Prefered Job Type : : Full-Time, Remote

Employement Details

Associate Data Scientist

P360
May 2023 - Present

 Remote

Skills: Random Forest · Neural Networks · Linear Algebra · Exploratory Data Analysis · Reinforcement Learning · Analytical Skills · Artificial Neural Networks · Analytics · Decision Trees · Data Analysis · Pandas (Software) · NumPy · Natural Language Processing (NLP) · Scikit-Learn

Salary : 24,000 Monthly
Notice Period : 2 Month

Junior Data Scientist

P360
Jun 2022 - May 2023

 Skills: Support Vector Machine (SVM) · Random Forest · Neural Networks · Linear Algebra · Exploratory Data Analysis · Reinforcement Learning · Analytical Skills · Artificial Neural Networks · Analytics · Decision Trees · Data Analysis · Pandas (Software) · NumPy · Natural Language Processing (NLP) · Scikit-Learn · Python · Machine Learning 

Junior Research Fellow

Indian Institute of Technology, Guwahati
Jun 2021 - Jun 2022

· Full-time

 Skills: Signal Processing · Image Analysis · Digital Signal Processing · Neural Networks · Linear Algebra · Exploratory Data Analysis · Analytical Skills · Artificial Neural Networks · Analytics · Decision Trees · Data Analysis · Pandas (Software) · NumPy · Scikit-Learn · Python · Machine Learning 

Education Details

Master in Artificial Intelligence and Machine Learning

Master of Technology - MTech From BITS Pilani Work Integrated Learning Programmes

Passout Year : 2023

Course Type : Full Time

Percentage/Grade : 8.6 Scale 10 Grading System

Graduation in Electrical Engineering

Bachelor of Technology, From Siliguri Institute of Technology

Passout Year : 2019

Course Type : Full Time

Percentage/Grade : 8.07 Scale 10 Grading System

12th in ISC, Science (PCM)

Passout Year : 2015

Course Type : Full Time

Percentage/Grade : 89 % Marks of 100 Maximum

10th in ICSE, General Studies

Passout Year : 2014

Course Type : Full Time

Percentage/Grade : 88 % Marks of 100 Maximum

Project Details

IPT based smart wireless charger for EV

Associated with Siliguri Institute of Technology
June 2021 - july 2021

 Conducted thorough research to gain in-depth knowledge about wireless charging schemes and their universal standards. Developed a simulation model (using MATLAB and Simulink) of an 86kHz (SAEJ2954) S-S resonant wireless charger for 48V and 72V output. The smartness of the system lies in its ability to automatically detect the required output voltage and current, and adjust the BMS accordingly. Input and output specifications of the charger were set according to BHARAT DC 001 standard. Further work is being done to obtain smoother switching and output current with a ripple of less than 4.8%. 

IoT based Smart Vehicle Tracking system

Associated with Siliguri Institute of Technology
January 2022 - April 2022

 Programmed a microcontroller to collect speed and location data of a vehicle from the OBD II port via the CAN bus. Collected data was sent to a SQL database, via MQTT, using GPRS. A UI was also developed to visualise the speed and location of the vehicle on a map in real-time. This device can be used for speed monitoring, vehicle tracking, fleet management, driving assistant, etc. 

IoT based advance flood warning and public addressing system

Associated with Siliguri Institute of Technology
February 2020 - August 2020

 Presented a Proof of Concept (POC) for predicting flood in river basins. The primary motive was to replace the manual methods of flood prediction with faster and more accurate computer-based solutions. Regression models have been developed to predict flood levels at low land due to water discharged by dams at higher altitude. Data collection is done using mesh connected IoT sensors spread along the course of the river. A USP of the solution is its ability to choose the ideal regression algorithm (linear, polynomial, logistic) automatically, while another being very high customisability for each dam. The provision of validation and retraining with the data collected using sensors makes the model even more accurate. With an input of a 3-hour quantitative weather forecast of several days, the model can predict the flood level every 3 hours for that many days in advance. 

Touchless module

Associated with Siliguri Institute of Technology
February 2019 - Present

 I have started this project with a primary aim to replace the switch of a calling bell with auto detection mechanism.
The module basically consists of an infrared proximity sensor, which generates a train of pulses for a duty cycle of 35%. It also has the ability to remain shut for about 10 seconds after detecting an obstacle.
The said module comes with a BUILT-IN CAPABILITY of handling loads ranging from light electronic loads like LED bulb to heavy electrical loads like ceiling fan, etc. Thus, extending its capability of being used in wide variety of products like automatic basin, automatic urinal to even automatic door opening systems.
Absence of any micro-controller and use of only analog and digital circuitry, makes the product quite cheaper as well as quite reliable for using 24x7. 

Profile Summary

 Associate Data Scientist @ IIT Guwahati | Spiritual minded 

 · Pandas (Software) · NumPy · Natural Language Processing (NLP) · Scikit-Learn · Python · Machine Learning 

Personal Details

Full Name Bappaditya Shome
Gender Male
Marital Status Single
Email ID **********
Mobile No. **********
Date of Birth **********
Languages Known
English(Proficient),
Nationality
India