Shikhar Saini
Summary
Driven to learn quickly, advance computer proficiency and training in industry operations. Master's Graduate in Data Science. Flexible and hardworking team player focused on boosting productivity and performance with conscientious and detail-oriented approaches. Skilled in Python, Power BI, SQL and Excel
Overview
1
1
year of professional experience
1
1
Certification
Work History
Internship Student
IFREMER Institute
05.2023 - 12.2023
- Pioneered the engineering and successful implementation of an advanced deep learning algorithm that leveraged Echo-sounder data to categorize fish species with an extraordinary 95% accuracy, reshaping marine ecosystem monitoring and analysis
- Toolkit : Convolutional neural network(U-Net Architecture), NetCDF Library(python), Latex, Pycharm.
Industrial project with Alcatel Enterprise
Alcatel Enterprise
10.2022 - 01.2023
- Collaborated in a team of 4 on an industry-led 6 months project with 'Alcatel enterprise' during M.Sc.
- Employed the 're' library to perform in-depth analysis of machine log data, enabling proactive identification of potential issues and reducing system downtime by 30%.
- Monitored project performance of multiple algorithms like Word3Vec, Doc2Vec and BERT-model to identify areas of improvement and make adjustments.
Education
Master of Science - IT & Data Science
IMT Atlantique
Brest, France12.2023
B.tech - Computer Science
SRM Institute of Technology
India06.2021
Skills
- Python & R
- SQL
- Power BI
- DAX
- Excel
- C & C
- Git
- Latex
Projects
Wheat Production investment in Greece
- Data Storytelling project using Python (Pandas + NumPy) and MS-Excel,
- Developed a graphical presentation to advocate for local wheat production in Greece. Highlighted the decline in wheat farming since the 1990s to less than 33% in 2020s, leading to heavy reliance on imports, mainly from Russia.
- Emphasized on the urgency for food security in the wake of the Russia-Ukraine conflict is possible, given that crop yield has risen 3 times from 1960-2020.
Game-Platform Popularity Analysis Project
- Business Management Project using ML
- Implemented a machine learning model to guide game developers in selecting the optimal gaming platform for new releases.
- Analyzed sales and playtime data of video games from 2004-2010 to predict platform popularity based on genre, online features, and game length, aiding resource-limited companies in maximizing initial game sales.
Certification
- MTA: Introduction to Python , 2020 (microsoft)
- Power BI Data Analyst Professional Certificate, 2024 (microsoft)
- SQL for Data Science, 2024 (UC Davis)
Languages
English
Advanced (C1)
Hindi
Bilingual or Proficient (C2)
French
Upper intermediate (B2)
Timeline
Internship Student
IFREMER Institute
05.2023 - 12.2023
Industrial project with Alcatel Enterprise
Alcatel Enterprise
10.2022 - 01.2023
Master of Science - IT & Data Science
IMT Atlantique
B.tech - Computer Science
SRM Institute of Technology
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