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Tech-Driven AI & Data Analytics Professional

Location:
Ahmedabad, Gujarat, India
Posted:
March 19, 2026

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Resume:

HARSHI JAIN

Ó +91-769******* [ *************@*****.*** Ahmedabad - India Linkedin Leetcode

EDUCATION

B.Tech - 8.83 CGPA

Technocrats Institute of Technology

**** – 2024 Bhopal, India

HACKATHON

• Directed a prototype within 48% hours, imple-

menting targeted adjustments based on imme-

diate user feedback; streamlined operations

led to saving over 50% hours of combined

development time throughout the project life-

cycle.Link

SELECTED PROJECTS

Tourette Syndrome Prediction

Python Numpy Jupyter Notebook Debug-

ging Natural Language Processing Artificial

Intelligence

• Built and trained a machine learning model

using patient datasets to predict Tourette Syn-

drome with 78% accuracy, leveraging NumPy

and cloud-based computing environments for

efficient processing.

• Reduced data processing time by 40% via a

cloud-optimized machine learning pipeline

in Jupyter Notebook, improving responsive-

ness for health diagnostics and enabling rapid

decision-making.

Smart India Hackathon (SIH) Grand-Finale

Project

HTML CSS JavaScript SQL

• Utilized core leadership, Computer Engineer-

ing and Computer Science principles to create

a solution that enhanced supply chain effi-

ciency by 89% in organic waste management.

• Formulated and executed solutions to bridge a

56% gap in supply chain continuity.

PUBLICATION

• Harshi Jain, Dr. Kiran Pandey, Dr. Bhupendra

Verma - A Decision Tree Classification Model

for detection Of Tourette Syndrome Using

Cognitive and Olfactory Testing Data : A Re-

view.IEEE International (SCEECS) Conference.

Volume 9, Pages 1-6.Link

• Harshi Jain, Vijay Bhaskar Semwal. - Hybrid

Deep Learning Model for Fall Detection in

Healthy Elderly Using CNN-BiLSTM: CNBiLS.

SocProS International Conference 2025, In-

dian Institute of Technology (IIT) Roorkee,

Pages 1-9. Link

EXPERIENCE

Orbrick Consulting

Senior Associate Technical Consultant -Full Time

09/2025 – Present Ahmedabad

• Applied analytical and AIML-driven problem-solving to im- prove business decision pipelines, enabling real-time insights and reducing operational latency by 35%.

• Collaborated cross-functionally in a startup environment, translating functional requirements into robust technical im- plementations while strengthening client communication and solution design capabilities.

• Gained end-to-end project exposure at Orbrick, working closely with business stakeholders to understand process workflows, translate functional requirements into technical solutions, and align system architecture with real-world opera- tional models.

• Technical Skills: Oracle Integration Cloud (OIC), Oracle Fusion, Java, SQL, PLSQL, REST/SOAP APIs, AIML Fundamentals, Data Processing, TCP/IP, Unix/Linux, Cloud Integrations, Sys- tem Optimization.

Mastek

Associate Technical Consultant -Full Time

01/2024 – 09/2025 Ahmedabad

• Streamlined integration processes by developing and Cus- tomer Support & Communication over 100% integration flows in Oracle Integration Cloud (OIC), driving efficiency across SOAP, ERP Cloud, Oracle DBaaS, and FTP adapters.

• Engineered high-throughput integrations with Fusion REST APIs, handling 1M+ records via FBDI and ESS job scheduling, improving data synchronization by 60%.

• Technical Skill: Oracle Integration Cloud (OIC), Oracle Fusion, Java, SQL, PLSQL, TCP/IP, Unix/Linux, VBCS, BI Publisher, XSLT – aligned with distributed system and distributed com- puting, Scripting, logg analysis, cloud computing technologies. ACHIEVEMENTS

• Certified in Microsoft Azure Fundamental (AZ-900) & AWS Services like EC2, S3, Lambda, IAM, CloudWatch, VPC, DNS, and Infrastructure as Code (IaC).Link

• Ranked 2nd out of 500+ versatile teams in the Smart India Hackathon, recognized for developing a scalable, real-time supply chain optimization solution.Link

• Secured rank 2 in the ML Model Presentation. Link

• Submitted 350+ Questions on Leetcode. Link

• Earned 50 Days Badge, attained by only the top 7%. Link

• Published machine learning-based medical diagnosis research in IEEE, focusing on decision tree algorithms and olfactory data classification; accepted with a competitive 25% accep- tance rate.Link

• Achieved 5 stars in Java, Python and SQL at HackerRank. Link



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