AKANKSHA VARMA SAGI

Dynamic and results-oriented Computer Science graduate with a keen interest in interdisciplinary research. Demonstrated proficiency in conducting groundbreaking research independently, leveraging a diverse array of sources. Excelled in pioneering studies on human anatomy and technology, leveraging skills in C++, Java , Python and Machine learning. Demonstrated exceptional analytical abilities and a proactive approach to problem-solving, enhancing system performance and fostering financial transparency. Skilled in synthesizing complex information, analyzing data and deriving meaningful insights. Adept at collaborating with cross-functional teams and leading initiatives to successful completion. Proficient in analyzing financial data, generating detailed reports and enhancing financial transparency. Skilled in providing valuable insights to support decision-making, optimize resource allocation and drive financial planning. Experienced communicator at both research conference and business / professional settings.

• Published paper during Undergrad Academic Project ,

AI and Cloud-Based Collaborative Platform for Plant Disease Identification and Forecasting for

Farmers:

• Led a project team to develop an innovative platform for plant disease identification and forecasting for

farmers.

• Utilized Convolutional Neural Networks (CNN) and Python programming, leveraging relevant libraries

to process and analyze a labeled dataset sourced from farmers' websites.

• Designed an intuitive platform allowing farmers to upload crop images for AI-based disease

identification.

• Implemented AI algorithms for disease detection and forecasting, empowering farmers to make data-driven

decisions for crop management.

• Worked on Course Relative Projects ,

Harvesting Insights: Leveraging Machine Learning for Improved Agricultural Yield Prediction and

Variety Management:

• Collaborated as a team member in the AIALA Program at New Mexico State University.

• Contributed to pollination assessment using a Support Vector Classifier (SVC) machine learning model.

• Analyzed an unsupervised dataset from agricultural fields to gain insights into the pollination process.

• Worked towards optimizing crop yields and enhancing variety management practices for sustainable

agriculture.

Smart Investing: Leveraging Machine Learning for Accurate Stock Price Predictions:

• Spearheaded a project team to develop an advanced analytical framework for accurate stock price predictions, enhancing decision-making capabilities for investors.

• Integrated machine learning classification and regression techniques with sentiment analysis from textual data sources to capture intricate patterns and investor sentiments influencing market dynamics.

• Applied a diverse range of models including Linear SVM, Logistic Regression, K-Nearest Neighbors (KNN), Naïve Bayes, Decision Tree, Support Vector Regression (SVR) and Random Forest, tailored to address various aspects of stock price prediction.

• Conducted comprehensive data preprocessing, exploratory analysis, and feature extraction using datasets from prominent companies like Apple, Google, Amazon and Microsoft.

• Incorporated key financial metrics such as daily returns, volatility, and sentiment scores derived from news headlines and social media to enrich predictive models, offering investors a sophisticated decision-support tool for navigating market unpredictability.

• Got certified in BEC (business English qualification) with B1 grade (independent speaker)
• Got certified in TCS ion digital hub career edge-LOCKDOWN KNOCKDOWN Program
• Research and Analysis
• Cloud Platforms Publication Management
• Completed Cisco Networking Academy course on programming essentials in python
• Completed Deloitte consulting virtual internship June 2021 - 8 hours (duration)
• Participated in Accenture virtual experience program, June 2021, 3 hours (duration)
• Got certified in HTML, CSS and JS for beginners

• Successfully completed all modules and progressed to the developer level in Salesforce, demonstrating proficiency in customizing and developing solutions within the platform.
• Customizing and developing solutions within Salesforce, Salesforce integration, Data flow optimization, Designed and developed interactive dashboards in Tableau to visualize budget audit expenses, providing stakeholders with actionable insights into financial performance and expenditure trends.
• Tableau dashboard design, Data visualization, Financial performance analysis, Developed foundational understanding of AWS cloud services through self-directed learning.