Aditya Srivastava

CEO

Messina, Sicily, Italy5 yrs 3 mos experience
Most Likely To Switch

Key Highlights

  • Expert in Machine Learning and Data Science.
  • Proven success in High-Frequency Trading strategies.
  • Innovative contributor to Smart City technologies.
Stackforce AI infers this person is a Data Science and Machine Learning expert in E-commerce and Fintech industries.

Contact

Skills

Core Skills

Machine LearningCloud ComputingHigh-frequency TradingData Science

Other Skills

BERTBig DataC++CricketDeep LearningDistributed SystemsFastAPIFinancial AnalysisGroup DiscussionsInternet of Things (IoT)Interpersonal SkillsKarateLinuxNeural NetworksOpenStack

About

Pursuing a Master's in Data Science at the University of Messina in Italy, supported by a prestigious scholarship from the institution. A dedicated Data Science and Machine Learning enthusiast with a passion for excelling in dynamic digital intelligence processing domains. - Proven track record of contributing to Data Science teams in two distinct sectors: E-commerce and High-Frequency Trading (HFT), demonstrating adaptability and expertise in diverse industry environments. - Well-versed in the latest developments in Machine Learning, I bring a strong foundation in data structures and algorithms to drive data-driven insights and decision-making. - My relentless pursuit of new skills is matched by an eagerness to harness cutting-edge Data Science technology, all underpinned by a quick learning ability. - I'm on a relentless quest to make data reveal its secrets and navigating the world of digital intelligence with one goal: to turn data into wisdom. Let's connect and explore the possibilities.

Experience

5 yrs 3 mos
Total Experience
11 mos
Average Tenure
1 yr 6 mos
Current Experience

Slices-ri

Research Scientist

Dec 2024Present · 1 yr 6 mos · Messina, Sicily, Italy · On-site

  • Driving forward-looking innovation within the multinational SLICES ecosystem, contributing to the development of smart city technologies by providing research-backed ideas and solutions that align with the goals of the European initiative.
  • Working with a multidisciplinary team to conceptualize and propose innovative enhancements for the Stack4Things platform, aiming to deliver a more user-friendly and technologically advanced solution to the SLICES consortium.
  • Enhancing the Stack4Things IoT framework by integrating cutting-edge AI technologies to improve usability, scalability, and efficiency, while leveraging expertise in distributed computing, machine learning, cloud computing, OpenStack, and socket programming.
Machine LearningDeep LearningDistributed SystemsPython (Programming Language)Cloud ComputingWebSocket+2

Università degli studi di messina

Machine Learning Researcher

Mar 2024Jul 2025 · 1 yr 4 mos · Messina, Sicily, Italy · On-site

  • Engaged in research on Neuromorphic Computing and Machine Learning under the expert guidance of Professor Dario Bruneo.
  • Exploring possibilities at the intersection of neuroscience and artificial intelligence for the development of advanced and efficient neural network models inspired by the brain.
  • Actively delving into the realm of Spiking Neural Networks (SNN) to unravel new horizons in computational neuroscience, deep learning and artificial intelligence.

Pluswealth capital management llp

Associate Software Developer

May 2023Oct 2023 · 5 mos · Noida, Uttar Pradesh, India · On-site

  • Contributed in their data science team to led the development of high-frequency trading strategies by harnessing advanced machine learning techniques, resulting in enhanced profitability and trade execution speed.
  • Managed and analyzed extensive financial datasets, utilizing robust data engineering solutions to derive critical insights for informed decision-making.
  • Collaborated with cross-functional teams to seamlessly integrate machine learning models into trading infrastructure, ensuring optimal performance and compliance.
  • Proactively adapted trading algorithms to evolving market conditions, leveraging machine learning for consistent and competitive trading strategy success.
leadership skillBig DataDeep LearningC++Python (Programming Language)Data Science+10

Inviz ai

Data Scientist

May 2022May 2023 · 1 yr · Bengaluru, Karnataka, India

  • Utilized BERT models and other NLP techniques to build clas-
  • sification models, ranking models, and query parser services,
  • achieving higher accuracy and efficiency in text classification
  • and search for various major e-commerce clients such as Tata
  • Cliq, Croma, and IbO, improving their product recommendations
  • and customer experience.
  • Scraped and modified large and complex datasets using web
  • scraping tools such as Beautiful Soup,Selenium and Spider to
  • generate training datasets for ml models
  • Worked on modern ML Ops pipeline (Kubeflow) for rapid proto-
  • typing, training, scheduling, and deployment of Machine Learn-
  • ing Algorithms, streamlining the entire ML workflow and facili-
  • tating collaboration among team members.
  • Built various endpoints using FastAPI and worked on Pytest,
  • BigQuery, GCP, SQL, Jira, Git etc. enabling seamless integration
  • with different systems and databases
Deep LearningData ScienceSQLpytestFastAPIMachine Learning+1

Chegg inc.

Computer Science Expert

May 2021Oct 2021 · 5 mos

  • Managed Network Expert at Chegg

Digibiz

Founder & Ceo

Apr 2021Sep 2021 · 5 mos

Google developers

Alpha team member

Feb 2021Apr 2023 · 2 yrs 2 mos

Geeksforgeeks lpu

Community member

Jan 2021Apr 2023 · 2 yrs 3 mos

The sparks foundation

Data Science Intern

Dec 2020Feb 2021 · 2 mos

Dell

Campus Ambassador

Nov 2020Jun 2021 · 7 mos

Internshala

Internshala Student Partner(ISP 20)

Nov 2020Feb 2021 · 3 mos

Prepbytes

Campus Business Manager

Oct 2020Apr 2021 · 6 mos · India

Education

Università degli Studi di Messina

Master's degree — Data Science

Oct 2023Jul 2025

Lovely Professional University

btech cse — Computer Science Engineering

Jan 2019Jan 2023

Coding Blocks

Data Science Master Course — Specialization in Data science and machine learning

Jan 2020Jan 2021

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