Sakshi Lokarre
**************@*****.*** +91-705*******
Kolhapur, Maharashtra
LinkedIn: https://www.linkedin.com/in/sakshi-lokare-a20a322a9/ GitHub: https://github.com/sakshilokare PROFESSIONAL SUMMARY
AI Solutions Developer with specialized experience in computer vision and deep learning applications. Expert in transforming complex business problems into efficient machine learning solutions using Python, PyTorch, and TensorFlow. Proven ability to design, build, and deploy AI systems that enhance decision-making and automate complex processes.
SKILLS
• Programming: Python, SQL, JavaScript, C++, HTML, CSS
• ML & AI: Machine Learning, Deep Learning, Computer Vision, NLP, Predictive Modeling
• Frameworks: TensorFlow, PyTorch, Scikit-learn, Flask, Django, React.js
• Data Tools: Pandas, NumPy, Matplotlib, Seaborn, Power BI, Advanced Excel
• DevOps & Cloud: AWS, Docker, GitHub, Kubernetes, Agile Methodology, Troubleshooting
• Domain Skills: Data Analysis, Data Visualization, Model Deployment, Database Management, Object-Relational Mapping SOFT SKILLS
Problem Solving Team Collaboration Adaptability Leadership Communication Growth Mindset. EDUCATION
Savitribai Phule Pune University
B.E in Artificial Intelligence and Machine Learning CGPA: 7.98 2022-2025
Institute of Civil & Rural Engineering
Diploma in Computer Science
Percentage: 80.46% 2019-2022
Chhatrapati Shahu Vidyalaya
10th Grade
Percentage: 76.88% 2018-2019
PROJECTS
1. DeepFake Video Detection using Machine Learning: Developed a solution to combat the growing threat of AI-generated fake videos by creating an accurate deepfake detection system.
● Designed a hybrid model combining ResNeXt CNN and LSTM to detect temporal and spatial deepfake artifacts.
● Built preprocessing pipelines using OpenCV for frame extraction, normalization, and augmentation.
● Developed and deployed a Django full-stack application for video upload and real-time detection.
● Result: Produced a high-accuracy detection system capable of identifying deepfake manipulation in videos. 2. AI Skin Analyzer - Machine Learning Web Application:
● Built an AI-based tool for real-time skin feature extraction using OpenCV and Pillow.
● Trained ML models using Scikit-learn for multi-parameter skin analysis (pores, redness, texture, wrinkles, etc.).
● Created an interactive Flask web app with visual insights.
● Result: Delivered end-to-end skin assessment tool with 7-parameter health scoring. 3. AI Trading Agent - Autonomous Trading System:
● Developed ML-based trading signals using Random Forest and multiple technical indicators.
● Built REST APIs using Flask for portfolio management and market data processing.
● Designed a React.js dashboard with role-based access.
● Result: Real-time trading platform with automated decision-making, position sizing, and stop-loss integration. 4. Credit Risk Prediction System using Machine Learning:
● Implemented Logistic Regression, Random Forest, and XGBoost for credit scoring.
● Built an automated pipeline for preprocessing, encoding, feature engineering, and handling class imbalance.
● Performed feature importance analysis and risk scoring.
● Result: Accurate and interpretable credit risk model to reduce lending risks. WORK EXPERIENCE
1. Data Analytics Training Program Technogeek Solutions Pvt. Ltd., Pune Jul 2024 - Oct 2024
● Completed comprehensive training in data analytics using Python, Advanced Excel, Power BI, and SQL.
● Gained hands-on experience with Python libraries including Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.
● Developed Advanced Excel skills in data cleaning, formatting, Pivot Tables, Charts, and Dashboard creation.
● Learned Power BI for creating interactive dashboards with multiple graph combinations and filters.
● Enhanced SQL skills through CRUD operations, complex queries, and database management. 2. Machine Learning Internship Bharat Intern, India 30 Days
● Completed project-based training in machine learning algorithms and implementation.
● Developed and deployed machine learning models for various applications.
● Gained practical experience in model training, evaluation, and optimization. 3. Machine Learning Internship Codsoft, India
30 Days
● Worked on machine learning projects implementing classification and regression models.
● Practiced data preprocessing, feature engineering, and model deployment techniques.
● Enhanced understanding of end-to-end ML project development. 4 .Python Developer Internship Tech_Octanet, India 30 Days
● Developed Python applications and scripts for various use cases.
● Gained experience in Python programming, automation, and backend development.
● Worked on code optimization and software development best practices. 5. Web Developer Internship Tech_Octanet, India
30 Days
● Developed responsive web pages using HTML, CSS, and JavaScript.
● Implemented modern web design principles and cross-browser compatibility.
● Created interactive user interfaces and frontend components. CERTIFICATIONS & ACHIEVEMENTS
• Data Analytics Course - Technogeek, Pune (Jul 2024 - Oct 2024)
• Prompt Engineering - IBM Skills Network
• GenAI Certification - BCGX by Forage
• Data Analysis - Deloitte by Forage
• AI in Drone Workshop - Participant
• Completed multiple machine learning internships with project deployments.