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Sarthak in het kort
A data scientist with over 4 years of experience in developing data-intensive applications within the banking and biomedical sectors. Proficient in predictive modeling, data visualization, and data processing, with a strong coding background in Python and SQL. Skilled in identifying, creating, and implementing valuable business use cases. Possesses a Power BI Pro license and holds a Cloud Certificate from Microsoft, ensuring the ability to execute end-to-end solutions aligned with stakeholders' objectives.
During my tenure at ABN AMRO, I took on a leadership role, coaching colleagues in the adoption of data science methodologies and harnessing their potential in daily tasks. Notably, I conducted coaching sessions on the implementation of Artificial Intelligence, including generative AI such as ChatGPT. This experience has not only honed my technical expertise but also strengthened my communication and mentoring abilities, allowing me to effectively inspire and guide others.
Beyond my technical skills, I bring a strategic and business-oriented mindset to the table. My track record includes developing innovative product and service propositions and assisting clients in realizing substantial value from these initiatives. I excel in conveying complex analytical concepts clearly to both technical and non-technical stakeholders through effective communication and presentation skills.
Werkervaring
- ABN AMRO Bank N.V.Data ScientistDIGITAAL BUREAU & IT-CONSULTANCYjuli 2021 - Vandaag (3 jaren en 5 maanden)Netherlands1) Identify data-driven business opportunities for the procurement department.2) Build an NLP model that extracts and summarizes the key information from the documents.3)Utilize advanced analytics techniques in the already existing Power BI dashboards to create further insights.4)Deploy the interactive visualization dashboards for stakeholders and integrate them all into one place
- TNOData Science InternMEDISCHE SECTORjuli 2020 - juli 2021 (1 jaar)Utrecht, NetherlandsThesis Topic: Model the interactions between cardiac, brain and respiratory activities over time.1) Large amount of data precisely processed & analyzed using SQL and pandas. 2)Using A/B testing framework to test the statistical significance of the linear and non-linear model.3) Implemented an end to end Recurrent Neural Network (RNN) in physiological time-series signal and detected any abnormal change in health with 95% accuracy, and the outcome is published in the MDPI journal.4)Picturized reports are generated for layman understanding.
Externe aanbevelingen
Opleidingen
- Master of ScienceTUDelftNetherlands2021Master of Science in Signal Processing and Data Science