Avinash Rajendran

Avinash Rajendran

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Texas, United States

Contact Avinash regarding: 

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Full-time jobs
Starting at USD40/hour
Flexible work
Starting at USD30/hour

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Résumé


Jobs verified_user 0% verified
  • H
    Data Scientist
    Highbrow Technology Inc
    May 2024 - Current (1 year 1 month)
    Currently driving innovation at Highbrow Technology by developing and deploying advanced AI models designed to solve complex business challenges and optimize operations. My work primarily focuses on leveraging Generative AI, Reinforcement Learning, and Large Language Models (LLM) to create scalable solutions that enhance business outcomes across multiple sectors. • AI Model Development: Spearheading the creation and training of cutting-edge AI models to address intricate business problems, ensuring high performance and reliability. • Generative AI Tools: Utilizing tools like Google Colab to streamline the development process and enable rapid prototyping of AI solutions. • Cross-Functional Collaboration: Working closely with cross-functi
  • University of the Pacific
    Data Analyst
    University of the Pacific
    May 2024 - Jul 2024 (3 months)
    Contributed to the Human Resources department by optimizing data management and automating HR processes, which led to significant operational efficiencies and enhanced decision-making. • Data Management & Automation: Enhanced data accuracy and efficiency by automating key HR processes, reducing manual workload by 50% and improving data integrity. • HR Operations Support: Configured and managed employee leave codes, benefits, and earnings data, contributing to smoother HR operations and better resource allocation. • Power BI Dashboard Creation: Designed and maintained interactive dashboards that provided real-time insights into HR metrics, empowering stakeholders to make data-driven decisions. • Process Improvement: Identified and imple
  • University of the Pacific
    Master's in Business Analytics
    University of the Pacific
    Jul 2022 - Dec 2023 (1 year 6 months)
  • A
    Human Resources Assistant
    ALF Engineering Pvt Ltd
    Jul 2021 - Mar 2022 (9 months)
    Played a pivotal role in enhancing HR operations by streamlining processes, maintaining accurate records, and improving overall efficiency within the department. • Onboarding Process Optimization: Reduced onboarding time by 20% through effective coordination and process streamlining, contributing to higher new hire satisfaction and quicker time-to-productivity. • Meeting Coordination: Organized and scheduled meetings, improving team coordination and communication, which resulted in more efficient HR operations. • HR File Management: Improved file organization, leading to a 20% increase in information retrieval efficiency, thereby supporting quicker decision-making. • Payroll Process Contribution: Ensured accuracy and timeliness in payro
Education verified_user 0% verified
  • University of the Pacific
    Master of Science - MS, Business Analytics
    University of the Pacific
    Aug 2022 - Dec 2023 (1 year 5 months)
  • R
    Bachelor of Engineering - BE, Electronics and Instrumentation Enginerring
    RMD ENGINEERING COLLEGE
    Sep 2017 - Jul 2021 (3 years 11 months)
  • V
    Higher Secondary, Computer Science
    Velammal Matriculation Higher secondary school
    Jul 2015 - Apr 2017 (1 year 10 months)
Projects verified_user 0% verified
  • R
    Roster Manager: An Interactive Employee Scheduling System
    Feb 2024 - Mar 2024 (2 months)
    • Led the development of 'Roster Manager', an innovative Excel-based scheduling system designed to streamline workforce management. • This project involved creating a dynamic, user-friendly interface that allowed for efficient tracking and management of employee shifts across a month-long schedule.
  • S
    Salary Intelligence Dashboard
    Feb 2024
    • Leveraged Tableau and Excel to analyze salary data from 6,600 employee records, providing in-depth insights into compensation trends. • Forecasted analyst salaries for the next 5 years, facilitating strategic HR planning and informed career decisions.
  • P
    Python Programming Quiz Game
    Nov 2023 - Dec 2023 (2 months)
    • Created an engaging Python learning game, combining quizzes and gameplay to boost beginners' engagement and comprehension of programming concepts. • Introduced a user-friendly educational tool featuring instant feedback, varying difficulty levels, and a broad array of coding questions for an in-depth, adaptable learning experience.
  • D
    Diabetes Prediction and Analysis
    Oct 2023 - Dec 2023 (3 months)
    • Collaborated with a diabetes center for a month, analyzing 100k patient records using SQL to uncover patterns in diabetes incidence related to age, BMI, smoking, and glucose levels, leading to a 45% boost in prevention efforts. • Overcame data cleaning hurdles through teamwork, recommended in-depth longitudinal studies, and external data integration for enhancing healthcare practices and informed decision-making in diabetes management.
  • A
    Analyzing Company Growth Factors
    May 2023 - Jun 2023 (2 months)
    • Utilized advanced techniques (normalization, correlation, regression, AI) to analyze growth drivers for Reliance Industries. • Presented findings leading to a 15% improvement in strategic decision-making.
  • P
    Predictors of UG Success & STEM Graduation Rates at UOP
    Apr 2023 - May 2023 (2 months)
    • Utilized the University of the Pacific's longitudinal data to analyze STEM program completion factors, unveiling regional and ethnic retention disparities, leading to targeted interventions and a 12% increase in STEM graduation rates. • Employed advanced statistical methods, Excel, and pivot tables for actionable insights.
  • A
    An Analysis of Flight Delay in the US
    Apr 2023 - May 2023 (2 months)
    • Analyzed US flight delay factors using Excel, Tableau, and advanced analytics techniques. • Provided insights for improving operational efficiency and passenger experience, resulting in a 10% reduction in flight delays.
  • K
    Kobe Bryant's Shots prediction
    Apr 2023 - May 2023 (2 months)
    • The Kobe Bryant Shot Prediction project delved into machine learning to analyze and forecast the results of his basketball shots. • Utilizing a comprehensive Kaggle dataset, the aim was to uncover the shooting patterns and influential factors behind his shot success rate.
  • S
    SponsorSavvy - Sponsorship Management Platform
    Jan 2023 - Feb 2023 (2 months)
    • Developed SponsorSavvy, a comprehensive sponsorship management platform connecting event organizers with sponsors, achieving a 25% increase in sponsor-event matching accuracy. • Leveraged data analytics, AI, and ML for precise sponsor-event matching, and conducted statistical analysis using tools like RapidMiner Studio, JMP, and designed intuitive UI/UX on Figma for seamless interactions.
  • T
    Titanic Survival Prediction
    Dec 2022 - Jan 2023 (2 months)
    • Leveraged advanced analytics and machine learning to dissect the historical Titanic dataset, extracting meaningful insights and predicting survival outcomes with heightened accuracy. • By meticulously refining feature engineering processes, I amplified the model's accuracy by 12%, attaining a 78% prediction success rate.
  • T
    The Influence of Marketing on People's Purchases
    Nov 2022 - Dec 2022 (2 months)
    • Researched the effect of marketing strategies on consumer purchases, focusing on child-friendly marketing's impact on childhood obesity and employed rapid review methodology to analyze diverse tactics like celebrity endorsements and health claims. • Explored trends in business-to-business communication, extending insights into marketing's influence. Gained expertise in evaluating marketing strategies and their implications for public health and business practices.
  • A
    Automated agricultural assistant rover
    Oct 2021 - Nov 2021 (2 months)
    • Developed an automated rover with intelligent algorithms for precision farming, capable of sensor-based, targeted interventions in irrigation and fertilization, enhancing agricultural efficiency. • Complemented by a mobile application, enabling farmers to monitor and manage field conditions remotely, thereby optimizing resource use and farm management.
  • A
    AR assistance for instrument operation and calibration
    Jul 2020 - Sep 2020 (3 months)
    • AR Assistance for Instrument Operation and Calibration is proposed in the present invention to design a virtual assistant to correct any errors in the instrument and to aid novice users in operating complex instruments in various fields such that errors and accidents can be suppressed greatly. • The present invention uses Augmented Reality (AR) guides to simplify the working and calibration of the instrument. It is also powered by a chatbot that can clear queries with visual elements like pictures and videos.