It Support Business Systems

Hritika Doshi

linkedin.com/in/hritikadoshi* 857-***-**** *************@*****.***

EDUCATION

Boston University Boston, MA

Masters; Computer Information Systems August 2023 - December 2024 NMIMS Mumbai, MH

Bachelors; Computer Science and Business Systems July 2019 - May 2023 SKILLS

Programming Language: Java, Python, C/C++, SQL (PostgreSQL, MySQL), JavaScript, R Frameworks & Libraries: Pytorch, TensorFlow, XGBoost, NumPy, Pandas, OpenCV, YOLO, EastAPI Cloud Platforms &Tools: AWS (S3, Redshift, EC2, Lambda), Google Cloud Platform, Snowflake, Databricks, Terraform, Ansible Data Analysis and Visualization: Matplotlib, Tableau, Visual Studio Code, PyCharm, Power BI Data Engineering: Apache Nifi, Apache Airflow, AWS Redshift, Google BigQuery, Snowflake, ETL Pipelines, DBT, ADLS Gen2 Tools: Android Studio, React, Cognos, PowerApps, Cisco Finesse, Git, Docker, VS Code, ServiceNow WORK EXPERIENCE

Boston University Boston, MA

IT Support Specialist May 2024 – December 2024

• Resolved an average of 30+ IT support tickets per day, achieving a 92% first-contact resolution rate, reducing ticket backlog by 35%.

• Revised monitoring strategies for 15+ business-critical systems, reducing downtime by 40%, enhancing system reliability, led to a 40% reduction in downtime, significantly enhancing system reliability. Radical AI New York, NY

Data Engineer Intern June 2024 - August 2024

• Designed and implemented robust data pipelines for Radical AI-powered EdTech chatbot in collaboration with the AI team, streamlining data ingestion and processing for real-time interactions.

• Utilized Snowflake and Databricks to optimize data transformations, enhancing the performance of AI-driven learning models.

• Collaborated with AI teams to enhance user experience through the seamless integration of GPT-4 and TensorFlow, applying advanced data analytics techniques to personalize learning, reducing latency for real-time interactions by 15%.

• Automated 4+ ETL workflows, accelerating model training by 25% and enabling real-time AI-driven learning enhancements. Grivaa Capital Mumbai, MH

Application Developer Intern May 2022 - June 2022

• Developed and tested 3+ full-stack applications with React (front-end) and Teradata (back-end), improving system response time by 25%.

• Prepared data pipelines and integrated reporting systems using Cognos to provide business intelligence insights, improving operational efficiency.

PROJECTS

Azure Data Engineering Pipeline Azure Data Factory, Databricks, ADLS Gen2, DBT, SQL Server

• Initiated an end-to-end Azure Data Engineering pipeline leveraging Azure Data Factory, Databricks and ADLS Gen2, orchestrating data movement from SQL Server into a structured Medallion Architecture.

• Developed 5+ optimized DBT models and snapshots in Azure Databricks, improving query performance by 25%.

• Configured Azure Key Vault, SQL Database and Data Factory to enable secure credential management, generated ETL workflows and seamless data orchestration, enhancing data integrity and operational efficiency across the pipeline. Aircraft Predictive Maintenance Model AWS Redshift, Apache Nifi, Airflow, Logistic Regression, RNNs, LSTM

• Created a scalable data warehouse using AWS Redshift and Google BigQuery, and built ETL pipeline with Apache Nifi and Airflow to integrate real-time sensor data and historical records for predictive maintenance.

• Trained & deployed ML models (Logistic Regression, RNNs, LSTM) in TensorFlow, achieving 98% accuracy for predictive maintenance.

• Refined inventory levels and maintenance schedules using predictive insights from ETL processes with SQL, Python, and Tableau, reducing costs and ensuring timely availability of critical parts. Sign Language Recognition Model YOLO, Python, OpenCV, TensorFlow

• Engineered a Sign Language Recognition model utilizing YOLO, achieving an average inference speed of 0.02 seconds per frame; this speed was the fastest model to date tested by the university.

• Mastered YOLO for real-time gesture classification, achieving 98% accuracy. Optimized data pipelines for real-time processing, improving model inference speed by 20%.

• Accelerated data preprocessing for sign language recognition by developing a custom TensorFlow module, diminishing processing time by 15%, enabling faster model training and iteration cycles in the university lab. CERTICATIONS

AWS Certified Solutions Architect – Associate March 2025 AWS Data Engineer Associate Certification February 2025 AWS Cloud Practitioner Essentials September 2024

Goldman Sachs – Operations Job Simulation April 2025

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