Hiral Choksi

Experience

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  CESA (Computer Engineering Students Association)

  Jan 2021 - Apr 2024

  • President

    Feb 2023 - Apr 2024

  • Graphic Design Coordinator

    Jan 2022 - Feb 2023

  • Student Volunteer

    Jan 2021 - Feb 2022
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  WayToWeb Pvt Ltd

  May 2022 - Jul 2022

  React Developer
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  The Sparks Foundation

  May 2022 - Jun 2022

  Web Development & Designing Intern
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  Accenture

  Oct 2022 - Jan 2023

  Data Analyst

  ● Optimized data pipelines for client payment systems improving claims and payout efficiency by 13% through Snowflake, Oracle SQL and SAP Callidus.● Collaborated with cross-functional teams to debug defect fixes using Python and JIRA roadmaps, communicating with clients to streamline Tableau dashboards for accurate and accessible data insights improving data accuracy for end-users.● Generated ad hoc reports and dashboards to support senior management in decision-making, utilizing advanced SQL queries, Python scripts, and business intelligence tool Tableau, improving KPI reporting efficiency by 20%.● Applied data science techniques such as predictive analytics and statistical modeling to enhance business insights, providing actionable intelligence for process optimization and improving customer outcomes.● Integrated data from multiple sources into self-service reporting tools and automated workflows, allowing stakeholders to access real-time data and insights, aligning with organizational and operational strategies. Show less

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  Oasis Infobyte

  Feb 2023 - Mar 2023

  Data Science Intern

  During my internship at Oasis Infobyte, I worked on the following data science projects:Iris Flower Classification: Developed a machine learning model to classify iris flowers based on their features such as petal length, petal width, sepal length, and sepal width. Used machine learning algorithms such as decision trees, logistic regression, and k-nearest neighbors to build the model.Unemployment Analysis with Python: Conducted an exploratory data analysis on the unemployment data in the United States and identified trends and patterns. Used Python libraries such as Pandas, NumPy, and Matplotlib for data analysis and visualization.Car Price Prediction with ML: Developed a machine learning model to predict the price of used cars based on their features such as mileage, year of manufacture, and brand. Used machine learning algorithms such as linear regression, decision trees, and random forests to build the model.Email-Spam Detection with ML: Developed a machine learning model to classify emails as spam or not based on their content. Used natural language processing techniques to extract features from the email text and machine learning algorithms such as Naive Bayes and Support Vector Machines to build the model.Sales Prediction using Python: Developed a time series forecasting model to predict future sales for a retail company. Used Python libraries such as Pandas, NumPy, and Matplotlib for data analysis and visualization, and time series forecasting techniques such as ARIMA and SARIMA to build the model.These projects provided me with valuable experience in data science and strengthened my skills in Python programming, machine learning, and data analysis. I am excited to apply these skills to a full-time data scientist role and contribute to the success of a dynamic organization. Show less

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  Egniol Services Private Limited

  Dec 2023 - Jul 2024

  • Team Lead

    May 2024 - Jul 2024

  • Research Analyst

    Dec 2023 - May 2024