Rituparna Shome Email & Phone Number
Who is Rituparna Shome? Overview
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Rituparna Shome is listed as Data Analyst - Product at Goismo, a with 13 employees, based in Greater London, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Rituparna Shome.
Rituparna Shome previously worked as Graduate Student Researcher at University Of Liverpool and Data Analyst at Tech Mahindra. Rituparna Shome holds Master Of Science - Ms, Data Science And Ai, Pass from University Of Liverpool.
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About Rituparna Shome
Accomplished Data Analyst with a Master’s Degree in Data Science and Artificial Intelligence and a strong background in data analysis and data visualisation. Leveraged my skills in Python, SQL, Tableau, Power BI and Microsoft excel along with ETL tools such as Dataiku, Oracle ODI and Lavastorm to develop and deploy ETL data pipelines, SQL queries and data visualisations for various projects during my tenure at Tech Mahindra. I also successfully articulated and conveyed technical design solutions to non-technical stakeholders during this time.Currently on the lookout for Data Analytics, BI Analytics and Data Scientist roles.
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Rituparna Shome work experience
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Graduate Student Researcher
Project Title: Contrastive study of large language models for language generation.My postgraduate project was an explainability of Machine Learning project where we tried to find out the contrastive explanation of two large language models in order to understand the functionality of large language models and to understand how and why a model might be making certain predictions/decisions.In this project, large language models which are used for language generation were studied contrastively.
Data Analyst
1. Gathered and analysed user requirements and converted them into technical design. Communicated solution design to technical and non-technical stakeholders.2. Created ETL jobs to extract, reformat and aggregate data from disparate data sources to staging areas and then loaded into centralised data marts.3. Developed ETL data pipelines for reconciling transactional data between multiple systems to identify errors/discrepancies and generated reports pertaining to that. This ensured, 1. End-to-end assurance of cost and revenue. 2. Boosted the company revenue by an average of 3% every quarter.4. Utilised Tableau to create various interactive and analytical Data Visualisation charts, graphs and dashboards, depicting critical KPIs. This in turn, 1. Helped the stakeholders to analyse Revenue at Risk. 2. Reduced manual reporting work greatly. 5. Developed advanced SQL queries with multi-table joins, group functions, subqueries for performing data analysis and various other database tasks.6. Developed POCs for data analysis using Python libraries like Matplotlib, Numpy, Pandas, etc.
Software Engineer
Associate Software Engineer
Digital Marketing Specialist
Trainee
Project: Automated parking assistance system for commercial parking areas.Hardware used: LPC2388 (On MCB2300 evaluation board), L293D.Tools used: Keil IDE-V4.20, Flash Magic, Hyper Terminal.Protocols Used: SPI.Roles and Responsibilities: a.Was involved with the communication between the entry and exit of the parking space. b.The protocol used for this communication was the SPI protocol.c.The communication basically was done in order to read the data in the first microcontroller board(in our case ARM7), such that the user could enter the details of the car and check for the availability of the parking space. Also, the entry time of the vehicle was noted down.d.This data was then transferred to the second microcontroller board(again ARM7) such that the details could be retained and the time duration of the parking of the vehicle can be noted.e.For this we used a triggered RTOS so that the timing of the parking of the vehicle could be noted and the respective amount could be calculated and the user would be provided with the bill.
Intern
1.Training on the different mobile communication protocols.2.Evolution of telecommunication from wired to wireless.3.Introduction to the basic GSM(Global system for mobile communication) and the development of the 1G and 2G Networks. 4.The concept of analog communication used in 1G mobiles.5.The switch from 1G to 2G communication where the communication turned into digital spread spectrum and we could not only make calls but also send voicemails, SMS(short messaging service)as well as access to the internet(Very low speeds).6.The switch from 2G to 2.5G which was more or less the same as the 2G, the only difference being that the access to data was much more faster as the EDGE(Enhanced Data rates for GSM Evolution) was introduced.7.Next the concept of 3G was introduced to me along with all the technologies involved with it.Also,3.5G and 3.75G were introduced.
Rituparna Shome education
Master Of Science - Ms, Data Science And Ai, Pass
Bachelor Of Technology (B.Tech.), Electrical, Electronics And Communications Engineering
Science
Frequently asked questions about Rituparna Shome
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What company does Rituparna Shome work for?
Rituparna Shome works for Goismo.
What is Rituparna Shome's role at Goismo?
Rituparna Shome is listed as Data Analyst - Product at Goismo.
Where is Rituparna Shome based?
Rituparna Shome is based in Greater London, England, United Kingdom while working with Goismo.
What companies has Rituparna Shome worked for?
Rituparna Shome has worked for Goismo, University Of Liverpool, Tech Mahindra, Hackerearth, and Sandeepani- School Of Embedded System Design.
How can I contact Rituparna Shome?
You can use AeroLeads to view verified contact signals for Rituparna Shome at Goismo, including work email, phone, and LinkedIn data when available.
What schools did Rituparna Shome attend?
Rituparna Shome holds Master Of Science - Ms, Data Science And Ai, Pass from University Of Liverpool.
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