Ashwin Gupta

Ashwin Gupta

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GHC 23 | MS CS at USC | Actively looking for Full Time opportunities | Data Science Intern @ LexisNexis | Ex- Data Scientist at Publicis Sapient
Los Angeles, California, United States
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Résumé

Jobs verified_user 0% verified
  • LexisNexis Risk Solutions
    Data Science Intern
    LexisNexis Risk Solutions
    May 2023 - Current (3 years 1 month)
    1. Machine Learning: Constructed Global fraud prevention model using ML algorithms like XGBoost and Gradient Tree Boosting that increased F1 Score by 4% and reduced training time by 20%. 2. Development: Developed Python library for feature drift detection by analysing predictive powers with visualizations and algorithm implementations that reduced human effort by 80%. 3. Data Visualization: Assisted in development of Customer Facing Analytics platform for real-time performance tracking of ML model.
  • U
    Data Analyst
    USC School of Pharmacy
    Jun 2022 - Current (4 years)
    1. Designed dashboards and developed reports using Tableau and PowerBI for 80+ KPIs to make data-informed decisions related to curriculum, admission, students, faculty and teaching programs for school of pharmacy. 2. Led presentations and discussions with school administration regarding results obtained from analyzing business data. Tracked academic trends by precisely identifying and extracting relevant data using Python and SQL.
  • Publicis Sapient
    Data Scientist
    Publicis Sapient
    Oct 2020 - Dec 2021 (1 year 3 months)
    1. Machine Learning: Performed predictive statistical analysis using ML algorithms by extracting data through automated APIs from Big Query (GCP) for Samsung North America to accurately forecast marketing campaigns that boosted revenue by 8%. 2. Automation: Single-handedly designed and constructed parallel ETL pipelines using Python to blend, transform and validate data that reduced human effort and delivery time by 80%. 3. Full Stack: Collaborated in a team of five to construct a scalable e-commerce system and assist with tagging of rule firings for end-to-end tracking of customers to increase conversions. 4. Visualisation: Created real-time dashboards and reports to derive data insights by utilising Tableau, Power BI and Google Analytics
  • Genpact
    Software Engineering Intern
    Genpact
    Jun 2019 - Jul 2019 (2 months)
    1. Developed automated payroll data validation system to minimize discrepancies using python which lowered manual intervention and decreased runtime by 70%. 2. Machine Learning: Accurately predicted payroll using KNN classification that minimized spare labor inventory costs by 20%. 3. NLP: Aided chatbot development by utilising SVM for intent classification to include contextual data for a more tailored experience.
  • Reliance Securities Reliance Money Limited
    Algorithmic Trading Intern
    Reliance Securities Reliance Money Limited
    May 2018 - Jun 2018 (2 months)
    1. Automated basket orders to streamline trades with low latency asynchronous logging system to expedite order sending. 2. Fabricated, backtested and optimized algorithms to accurately project future price trends of stocks & ETFs in real-time datasets. 3. Initiative: Performed data analysis & visualization, by leveraging Python Numpy and Matpotlib libraries to identify weekly trends that aided management in increasing profitability by 20%.
  • K
    Management Intern
    Krishna Electrical Industries Ltd
    May 2017 - Jul 2017 (3 months)
    1. Successfully upgraded ASTRA software on computer-controlled Triple Extrusion Insulating line using digital DC drives and PLC’s for process control. 2. Tracked inventory levels of major raw materials and consumables using MS Excel to prevent production bottlenecks. 3. Spearheaded greener practices by recycling water used in production using the filtration process and reduced air pollution utilizing wet scrubbers to minimize net emissions. 4. Created and optimised monthly production planning model utilizing raw materials for desired stock of finished cables.
Education verified_user 0% verified
  • University of Southern California
    Master of Science - MS, Computer Science
    University of Southern California
    Jan 2022 - Nov 2023 (1 year 11 months)
    Courses: CSCI 570: Analysis of Algorithms CSCI 561: Foundations of Artificial Intelligence DSCI 552: Machine Learning for Data Science CSCI 585: Database Systems CSCI 544: Applied Natural Language Processing CSCI 572: Information Retrieval and Web Search Engines
  • Amity University
    Bachelor of Technology - BTech, Computer Science and Engineering
    Amity University
    Jul 2016 - Aug 2020 (4 years 2 months)
    1. Coordinated 10th International Confluence, 2020 on the theme Cloud Computing, Data Science, and Engineering. 2. Managed and secured potential speakers to share their research at the conference through emails & telephonic conversations. 3. Won Gold medal in Sangathan table tennis competition held at Amity University, Noida. 4. Mentored and trained the table tennis team of four to win a Gold medal in Sangathan 2018. 5. Planned and facilitated regular table tennis workshops to improve the skillset of players studying at Amity University.
  • P
    International Baccalaureate Diploma Programme (IBDP
    Pathways World School
    Jan 2014 - Dec 2016 (3 years)
    Skills: Hypothesis Testing · Communication
Projects (professional or personal) verified_user 0% verified
  • M
    Multi Layer Perceptron Neural Network to Classify Handwritten Digits.
    Mar 2022 - Apr 2022 (2 months)
    1. Implemented the multi-layer perceptron(MLP) neural network with two-hidden layers to classify handwritten digits from the MNIST dataset. 2. The code was developed in NumPy-python without the use of any machine learning libraries. The network achieves a classification accuracy of 96% on testing data.
  • 5
    5X5 Go Game Agent
    Feb 2022 - May 2022 (4 months)
    1. Developed and fine-tuned Adversarial Search agent to play 5x5 GO game by utilizing Mini-Max algorithm with Alpha-Beta Pruning. 2. Attained win-rate of 95 % while playing against random, greedy, aggressive, alpha-beta player and reinforcement player.