C++ Computer Science

Jyothsna Lade

Jersey City, NJ +1-510-***-**** ******@****.*** *************@*****.*** linkedin.com/in/jyothsna-lade/ Education

New Jersey Institute of Technology Newark, NJ

Masters in Computer and Information Sciences (SEP 2023 – MAY 2025) GITAM University Vizag, IN

B.Tech in Computer Science and Engineering (JUL 2017 – MAY 2021) Technical Skills

Programming Languages: HTML, CSS, JavaScript,TypeScript, C, C++, Python, SQL Frameworks & Libraries: Spring Boot, React, Node.js, PyTorch, TensorFlow, Pandas, NumPy, Matplotlib, BeautifulSoup, Boto3, Scikit-learn

Cloud & Integration: AWS (S3, EC2, Lambda, RDS), Salesforce (Apex, SOQL, Visualforce, Aura components), Mulesoft Databases: MySQL, PostgreSQL, Oracle

Tools & Methodologies: Git, VS Code, Jira, Agile, Figma, Vercel Professional Experience

Accenture Hyderabad, IN

Application Development Analyst (Jul 2021 – Jul 2023)

• Customized Salesforce solutions with objects, triggers, and validation rules and flows, enhancing data accuracy for 5+ client workflows.

• Designed 20+ custom reports and dashboards to support real-time insights and decision-making.

• Optimized 15+ workflow rules and process builders, improving system performance by 30% and minimizing manual work.

• Developed Apex classes and Lightning Web Components for Salesforce, automating workflows and reducing processing time by 20% for Field Service Lightning deployments.

• Collaborated with cross-functional teams to configure 40+ security settings, including Profiles and Permission Sets, enforcing access control and data compliance.

• Migrated 500K+ records using Apex Data Loader and Bulk API, ensuring 100% data integrity across client systems.

• Resolved 100+ L2 support tickets monthly, maintaining zero SLA breaches through troubleshooting and system optimization. Widhya Hyderabad, IN

Artificial Intelligence Research Intern (Aug 2020 – Oct 2020)

• Leveraged LSTM, time series analysis, and Koopman Operator theory to build a predictive model for stock trends.

• Achieved 90% accuracy in forecasting future prices, enabling data-driven investment insights.

• Developed visualizations to analyze market trends and model performance using Python libraries like Matplotlib and Seaborn. Coursework

• Data Management Systems Design • Data Structures & Algorithms • Cloud Computing • Operating Systems Design

• Artificial Intelligence • Introduction to Big Data • Java Programming • Web Systems Development Projects

Stock Price Prediction Python LSTM ARIMA Random Forest SVM

• Fine-tuned ML models using hyperparameter tuning on 5 years of stock data to improve predictive accuracy.

• Conducted A/B Testing on model variants to compare performance using RMSE and visual analysis. Thread Pool Implementation pthreads Java

• Explored thread management relevant for backend performance and observability use cases.

• Simulated load behavior similar to microservice environments. Soul Kitchen Website - link NextJs Tailwind CSS React

• Built a responsive restaurant website using Next.js, React, and Tailwind CSS, deployed on Vercel with 100%test coverage.

• Integrated GDPR-compliant features and Mailchimp, enhancing user engagement through automated email campaigns. New York City Bus Transport Analysis Hadoop MapReduce

• Analyzed 1.5M+ rows of bus data using Hadoop MapReduce, identifying top 5 bus lines for transit optimization.

• Scaled Hadoop cluster from 4 to 9 VMs, reducing execution time by 30% with robust data validation. Smart Attendance OpenCV AdaBoost Haar Cascade

• Created a facial recognition attendance system using HAAR Cascade and AdaBoost, achieving 95% accuracy.

• Managed end-to-end development, showcasing skills in machine learning and computer vision. Certifications

• Salesforce Platform App Builder • Salesforce Platform Developer I

• Salesforce Certified AI Associate • Salesforce Certified AI Specialist

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