Hello! I'm Prerana
I’m Prerana Vijay Jadhav, a Master’s in Computer Science student at the University of Texas at Arlington, specializing in Artificial Intelligence, Machine Learning, and Cloud Computing. With hands-on experience as an Application Development Analyst at Accenture and a strong foundation in Python, C++, Java, SQL, and Salesforce development, I am passionate about building intelligent systems that solve real-world problems. Follow along as I share my bi-weekly insights, projects, and career journey toward becoming an AI/ML & Cloud Engineer at top tech companies.
Prerana Vijay Jadhav
AI/ML and Cloud Computing Engineer
Phone:
214-498-9370
Email:
Address:
2502 Riverside Pkwy, Grand Prairie, Texas,75050
Date of Birth:
October 16th, 1999
EXPERIENCE
September 2022 - June 2025
Accenture
Application Development Analyst
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Designed and developed scalable applications and integrations using Java and Apex; implemented Salesforce automation, Apex triggers optimized for bulk operations, and optimized SOQL/SQL queries.
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Integrated external systems through REST and SOAP APIs, improving data flow and interoperability across platforms.
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Executed system integration and regression testing by authoring 500+ test cases (Tosca, Postman, JUnit) with data mocks; this reduced post-release defects by 30% and caught breaking changes earlier.
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Delivered production support: triaged incidents, debugged code/data issues, and shipped controlled hotfixes to minimize business impact and improve platform stability.
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Collaborated with cross-functional teams and clients to convert requirements into user stories + acceptance criteria (Jira), produced low/high-level designs, led UAT demos, and managed dependencies to consistently deliver within sprint timelines and reduce rework after reviews.
August 2021 - August 2022
Application Development Associate
Accenture
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Assisted in developing and customizing applications to meet client requirements, gaining exposure to both front-end and back-end development.
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Applied Salesforce administration best practices (roles, profiles, permission sets, FLS, sharing rules, validation/duplicate rules, Flow vs. Apex) to tighten security, improve data quality, and cut access-related support tickets.
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Participated in Agile ceremonies (planning, daily stand-ups, reviews, retros) with story-point estimation, DOD checklists, and actionable retro items, improving team predictability and throughput across sprints.
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Supported upgrades/patches and sandbox→UAT→prod release promotions with pre-upgrade impact checks and smoke tests, enabling low/zero-downtime deployments.
EDUCATION
August 2025 - May 2027
Master of Science in Computer Science
The University of Texas At Arlington
Relevant Coursework: Database System, Design and Analysis of Algorithms, Data Analysis and Modeling Techniques, Machine Learning, Advanced Topics in Software Engineering, Data Mining, Artificial Intelligence
Savitribai Phule Pune University, India
August 2017 - May 2021
Bachelor of Engineering in Computer Science
Relevant Coursework: Data Structures and Algorithms, Database Management Systems (DBMS), Operating Systems, Software Engineering, Object-Oriented Programming (Java/C++), Computer Networks, Web Technologies, Artificial Intelligence, and Data Analytics.
CERTIFICATIONS
SKILLS
C++
Java
CI/CD
HTML,CSS
Postman
Python
MySQL
Salesforce
Selenium
Agile Methodology
PROJECT
AI-Based Farmer’s On-Field Plant/Crop Consultant
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Solution & Impact: Mobile + web app that identifies plant species & leaf diseases from photos, gives treatment recommendations, and forecasts yield/price by region—usable offline on Android.
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AI/Accuracy: OpenCV preprocessing + shape/color/GLCM features with SVM (~90.05% on PlantVillage); parallel CNN deployed as TensorFlow Lite for fast on-device inference.
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Decision Support: Flask dashboard shows demand locations and trend charts; Random Forest (~600 trees) + Decision Tree ensemble predicts yield/price from rainfall & WPI data.
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Stack: Python, OpenCV, TensorFlow/TFLite, scikit-learn, Flask, Android (Java/Kotlin), Pandas.