Who is Nikhil Valse? Overview
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Nikhil Valse is listed as Data Analytics Engineer at Leveragai, based in Hicksville, New York, United States. AeroLeads shows a matched LinkedIn profile for Nikhil Valse.
Nikhil Valse previously worked as Data Analyst at Leveragai and Research Assistant at Long Island University. Nikhil Valse holds Master Of Science - Ms, Data Analytics And Business Intelligence, A, Gpa: 4 from Long Island University.
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About Nikhil Valse
Data Science/Data Analysis professional with over four years of experience in Statistical Analysis, Software Development, Data Engineering and Business Intelligence in sectors such as Fintech and Property Management. Skilled in transforming business requirements into technical solutions.Experienced in communicating insights effectively to technical and non-technical audiences.Adept in designing, developing, and deploying scalable and efficient software solutions and data pipelines to meet business objectives and drive insights from data.
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Nikhil Valse work experience
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Data Analyst
Current- Develop and maintain an optimal deposit strategy for bonus campaigns for a wallet company, integrating an alarm system to dynamically adjust it based on time series analysis of inflation and customer behavior.
- Elevated average user wallet reserves reaching up to 22%, improving from minimum baseline levels through adjustments to the deposit strategy.
- Implement ETL pipelines on AWS, utilizing S3, Glue and Lambda, reducing processing times and costs.
- Develop interactive dashboards for stakeholders and vendors using Plotly Dash providing business performance and key metrics.
- Fine-tune ChatGPT LLM (API) with restaurants reviews to do multi-label sentiment analysis for feedback insights.
Research Assistant
- Performed data pre-processing and cleaning for a Foreign Direct Investment (FDI) research initiative led by Professor Dr. T. Steven Chang.
- Utilized Python to transform data from Oracle databases, identifying and resolving data quality issues across over 4,000 FDI projects, significantly improving data integrity.
- Leveraged Pandas, Matplotlib, and Power BI to visualize critical insights, facilitating more informed decision-making and advancing the research process.
Data Analytics/Developer
- Developed and maintained property management service providers' marketplace app, leveraging ReactJS frontend and Python, NodeJS, SQL, MongoDB backend for its Analytics Infrastructure.
- Analyzed service provider and customer interactions within the marketplace platform, identifying key trends that informed the development of new features such as area and rating based pricing strategy.
- Utilized data lakes on AWS (Amazon S3) to store, manage, and analyze structured and unstructured data, enabling deeper analysis for business strategy.
- Optimized SQL queries, improving data retrieval performance by up to 23%, resulting in faster loading times and better user experience on the dashboard.
- Designed automated reports and dashboards, delivering insights to stakeholders and property managers.
- Implemented unit and end-to-end (E2E) tests, reducing testing time and ensuring reliable software releases.
Nikhil Valse education
Master Of Science - Ms, Data Analytics And Business Intelligence, A, Gpa: 4
Postgraduate Degree, Data Modeling/Warehousing And Database Administration
Bachelor Of Engineering - Be, Electrical, Electronics And Communications Engineering
Frequently asked questions about Nikhil Valse
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What company does Nikhil Valse work for?
Nikhil Valse works for Leveragai.
What is Nikhil Valse's role at Leveragai?
Nikhil Valse is listed as Data Analytics Engineer at Leveragai.
Where is Nikhil Valse based?
Nikhil Valse is based in Hicksville, New York, United States while working with Leveragai.
What companies has Nikhil Valse worked for?
Nikhil Valse has worked for Leveragai, Long Island University, and Properly, Inc.
How can I contact Nikhil Valse?
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What schools did Nikhil Valse attend?
Nikhil Valse holds Master Of Science - Ms, Data Analytics And Business Intelligence, A, Gpa: 4 from Long Island University.
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