Dec 2024 – Jan 2025 · 1 mo · Hybrid

• At Verdant Soft, I specialize in B2B outreach through smart email marketing and LinkedIn prospecting, targeting remote opportunities in DevOps, Docker, and Kubernetes. I use tools like Zoho CRM and email scrapers to build targeted lead lists, craft cold outreach campaigns, and drive high-quality connections in the tech space.
• What I Do:
• Find and reach tech clients via LinkedIn
• Build lead lists with advanced email scrapers
• Run and manage email campaigns using Zoho CRM
• Research remote job opportunities in cloud & DevOps

Nov 2024 – Dec 2024 · 1 mo · Remote

• As part of an intensive 6-week, I worked on real-world projects across NLP, computer vision, and time-series analysis, applying advanced machine learning and deep learning techniques.
• What I Built:
• Financial Sentiment Analyzer: Developed an NLP model using FinBERT to classify financial news as positive, neutral, or negative, aiding investor decisions.
• Health Chatbot: Built an AI chatbot trained on medical datasets to answer queries related to symptoms, diseases, and mental health using NLP and deep learning models.
• Fake News Detector: Created a web app to distinguish between real and fake news using text classification (Naive Bayes & LSTM).
• Movie Review Sentiment System: Trained and deployed a sentiment analysis tool for IMDb reviews using SVM and Logistic Regression.
• Customer Segmentation Tool: Used K-Means and EDA to group customers based on spending habits, income, and preferences.
• Stock Price Anomaly Detector: Leveraged LSTM and Isolation Forest to detect unusual trading patterns using historical stock data.
• Emotion Recognition from Text: Fine-tuned BERT to detect multiple emotions in text, improving social media and customer feedback analysis.
• Deforestation Monitoring via Satellite Imagery: Built a CNN-based system to track environmental changes and deforestation over time.
• Credit Risk Prediction Model: Applied XGBoost and feature engineering to flag high-risk customers for financial institutions.

Aug 2024 – Oct 2024 · 2 mos · On-site

• I completed an extensive training program focused on Python and Artificial Intelligence. The AI segment covered various models in both machine learning and deep learning.
• In machine learning, I explored supervised and unsupervised learning techniques, including:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest Classifiers
• Support Vector Machine (SVM)
• I learned about neural networks in deep learning including
• Artificial Neural Network (ANN)
• Convolutional Neural Network (CNN)
• K-Nearest Neighbors (KNN)
• I also developed practical experience in object detection and computer vision. I experimented with pre-trained models such as YOLOv8 and YOLOv7, deploying them in real-world AI applications.

Jun 2024 – Jul 2024 · 1 mo · On-site

• As a Business Development , I have been diving into digital growth mainly SEO and finding the right clients on Upwork. I’ve learned how to research clients, write winning proposals, and optimize profiles to get noticed and hired more often. Always eager to keep growing and helping businesses connect with the right opportunities.
• Key Skills & Experience:
• Learned and applied SEO fundamentals to improve website traffic and visibility
• Developed strategies to identify and approach clients on Upwork
• Gained experience in writing proposals, managing leads, and converting prospects
• Collaborated with cross-functional teams to align marketing and sales goals