Freelancers using pandasFreelancers using pandas
ProjectsPeople
Akshat Sharma's avatar
Akshat Sharma
Houston, USA
Full Stack Developer | Project Manager | Executive Assistant
46
Followers
Full Stack Developer | Project Manager | Executive Assistant
Cover image for Full Stack Approach
Full Stack Approach
0
166
Cover image for Working on AI Face calibration
Working on AI Face calibration
1
135
Cover image for AI & Full-Stack Developer | LLMs, Machine Learning
AI & Full-Stack Developer | LLMs, Machine Learning
1
7
Cover image for Enhance Email Deliverability with AI-Powered Warmo Platform
🚀 Introducing Warmo Cold email isn’t failing because of bad copy. It’s failing because your emails never reach the inbox. Most outbound tools focus on sequences, personalization, and send volume. But none of that matters if your domain reputation is weak and your emails land in spam. That’s why we built Warmo. Warmo is an AI-powered outreach platform designed to improve deliverability and help teams run smarter outbound campaigns. Instead of just sending emails, Warmo helps you: • Warm up and protect your domain reputation • Run AI-powered outreach campaigns • Track replies and intent signals • Manage outbound from one place If outbound is part of your growth strategy, Warmo helps ensure your emails are actually seen. 👉 https://warmo.ai
15
366
pandas(3)
Vincent Pasili's avatar
Vincent Pasili
pro
Nairobi, Kenya
Software Engineer | DevOps & Infra | Replit Services
$50k+
Earned
44x
Hired
5.0
Rating
135
Followers
REPLIT_EXPERT

Expert

Software Engineer | DevOps & Infra | Replit Services
Cover image for Chill Epic Surf - Live Surf Conditions & Community
Chill Epic Surf - Live Surf Conditions & Community
2
93
Cover image for Development of Bumbu E-commerce Platform for Organic Groceries
Development of Bumbu E-commerce Platform for Organic Groceries
2
7
Cover image for Custom Operations CRM for DVG Operations
Custom Operations CRM for DVG Operations
1
5
Cover image for Development of CryptoTipX Digital Tipping Platform
Development of CryptoTipX Digital Tipping Platform
2
19
pandas(1)
kaze nesia's avatar
kaze nesia
Surabaya, Indonesia
Full-Stack Data Specialist | Automation & Predictive
New to Contra
Full-Stack Data Specialist | Automation & Predictive
Cover image for AI Student Success Intelligence Platform A
AI Student Success Intelligence Platform A twelve‑module analytics platform analyzed 50,000 learners across six countries to predict dropout, model engagement, and simulate interventions, finding that a composite Student Engagement Index (SEI)—built from Time Commitment, Academic Quality, Platform Activity, and Social Learning—is the strongest predictor of dropout (behavior beats demographics), an ensemble of XGBoost/LightGBM/CatBoost achieved 99.72% AUC and F1 = 0.9522, risk tiers were highly precise (Low Risk = 0.0% dropout; Critical Risk = 99.7%), multi‑dimensional “Full Interventions” produced the largest simulated risk reductions, and correcting a data‑leakage issue (attendance proxy) was essential to preserve model integrity.
0
136
Cover image for Global Retail Intelligence System: Product
Global Retail Intelligence System: Product Success Prediction and Strategic Market Analysis A multi-stage ML pipeline analyzed 44,888 Adidas SKUs using XGBoost and Random Forest to predict product success, demand trajectories, and stockout risk, finding that subcategory is the dominant success driver (~6× more explanatory than price, discount, or geography), the Success Classifier reached 94.3% accuracy and the Stockout Risk model 0.99 ROC‑AUC, 42.5% of products carry markdowns with deep discounts (≥30%) often eroding margins, 323 high-performing SKUs are under‑distributed and present near‑term expansion opportunities, the Budget tier outperforms Premium/Luxury in conversion to high performers, and 653 SKUs were flagged as high demand with elevated stockout risk requiring urgent replenishment.
0
83
Cover image for AI-Driven Global Smartphone Sales Strategy
AI-Driven Global Smartphone Sales Strategy Optimizer An end-to-end ML project used four years of global sales data and 132,000+ simulations to optimize pricing across 52 countries, identifying the exact product, channel, and price to maximize profit. Key findings: the “Discount Myth”—discounting has almost no effect on volume but erodes margins; switching from blanket 20% discounts to AI‑optimized pricing yields a 15.1% revenue gain (about $73,993 preserved per simulation). The B2B channel is optimal in 90% of markets. The production XGBoost model achieves 99.73% accuracy, and ultra‑premium products (notably the Samsung Neo QLED 8K) consistently generate the highest revenue.
0
92
Cover image for Implementing Dynamic Pricing for an
Implementing Dynamic Pricing for an E-commerce Platform Developed a dynamic pricing system to adjust prices in real-time based on market demand, competition, and customer behavior. Conducted market research, built pricing algorithms, and integrated them into the platform. Used data analysis to identify optimal pricing strategies and monitored their impact on key metrics. Findings: Increased Revenue: Experienced a 10% increase in revenue after implementing dynamic pricing. Improved Conversion Rate: Achieved a 5% increase in conversion rate by offering more competitive prices. Enhanced Competitive Advantage: Effectively positioned products and captured a larger market share. Identified Customer Segments: Gain insights into different customer segments and their willingness to pay.
0
127
pandas(6)
Guy G's avatar
Guy G
Oregon, USA
40+ years programming experience including recent AI and ML.
6
Followers
40+ years programming experience including recent AI and ML.
Cover image for Each pulse consists of the changes needed to transform the v...
Each pulse consists of the changes needed to transform the visualization of one subject range to another. I could reduce the pulsing by using inter-prompt interpolation but at the time I made these last year the computational overhead was too expensive. If I had the time to do it now it would be quite a bit more efficient on an A100 for about the same cost including interpolation. This is a visualization of a couple months worth of "Physical Review Letters E" which is very much worth checking out.
1
23
Cover image for Another fun project I started last year is called "CASI" for...
Another fun project I started last year is called "CASI" for Cyclical Adversarial Step-wise Improvement. It leverages the fact that when LLMs engage in self-correcting loops they get better at a task. In this case we are pitting 2 models and 2 system prompts with distinctly different purposes against each other to improve a concept or idea. This is unlike self-play and more like other-play. I would love to include an intermittent training pass or LoRa construction between cycles to make the models focus more completely. CASI is still a work in progress so use at your own frustration. If you encounter any issues please log them with the github repo, you will be helping the entire world :) https://github.com/TheOneTrueGuy/CASI
22
129
Cover image for This work was from late last year but I've been meaning to r...
This work was from late last year but I've been meaning to revisit it with an Agentic twist. Rebuilt to remain running in real time like a guardian I think it could be truly useful. It got open-sourced in this form after the client decided not to pursue it further. It is a simple tool for analyzing enormous blocks of emails for signs of fraud or deception. It won't take much for me to elevate the performance. https://github.com/TheOneTrueGuy/Fraud-Analysis-Tool and here is the video that was made for the associated Kaggle contest: https://www.youtube.com/watch?v=do9uPzW4AVk
20
119
Cover image for AI-Powered Fraud Detection Platform for Kaggle Contest
AI-Powered Fraud Detection Platform for Kaggle Contest
0
2
pandas(5)
Rohit P.'s avatar
Rohit P.
India
Data Scientist, Python, ML Engineer & AI Developer
5.0
Rating
7
Followers
Data Scientist, Python, ML Engineer & AI Developer
Cover image for Hand Gesture Video Control | Computer Vision
Hand Gesture Video Control | Computer Vision
0
39
Cover image for Disease Prediction Model | Machine Learning
Disease Prediction Model | Machine Learning
1
23
Cover image for Stock Price Visualization and Entry-Points | Machine Learning
Stock Price Visualization and Entry-Points | Machine Learning
0
13
Cover image for CIFAR-10 CNN Classifier | Deeplearning
CIFAR-10 CNN Classifier | Deeplearning
1
8
pandas(5)