Priya Sarkar

AI Transformation Partner for MSMEs in the MENA region > Helping businesses identify where AI can save time, reduce cost, and improve output > Designing AI roadmaps, workflows, and adoption systems > Implementing tools like Claude Code, OpenClaw, and AI-powered automation

What we do: 🎯 Content That Performs We analyze 300,000+ viral posts quarterly to craft content your audience actually wants. Daily posts, comprehensive designs, infographics, carousels, and monthly content plans — all handled for you. 📈 Strategic Engagement & Growth Daily engagement with up to 100 accounts, relationships with 200+ tech leaders to amplify your reach, and founder interviews to position you as a thought leader. 🤝 Outreach That Converts Targeted outreach to 200-350 potential clients monthly, putting your brand in front of the right people. 🏢 Corporate & Enterprise Solutions For companies ready to scale: corporate page management, weekly newsletters, and PR opportunities including podcast and conference speaker placements. Every client gets: • A dedicated Account Manager, Designer & Engagement Manager • Professional photo session • Custom-designed banners • Strategy sessions & content planning We don't just post content. We grow your network and build real influence.

My role is centered around leveraging cutting-edge Generative AI technologies to solve complex problems and drive significant business value.

Currently working with MENA region clients working in several field like Tourism, Ecommerce to help them set up their data functionality, data lab and analytics hub. ● Worked with prominent clients in Real Estate, UAE such as Nakheel, WASL and Tourism clients such as Saudi Tourism ● Working with the CTO of firms directly to build AI solution from scratch till production ● Managing key stakeholders, vendors & implementation partners in the delivery of AI and E-leaning solutions. ● Playing the tech lead role for the organizations to build their AI strategy and setup their systems and infrastructure. ● AI innovator who fills the Gaps between product managers and developers. ●Helping product managers build the idea by doing POC and helping them estimate efforts. ●Mentoring the Dev & product team to improve the AI adoption in products.

Data Scienec Lead responsible for taking Strategic decissions for conceptualization and execution of AI projects in Retail and Automobile sector. Working with technologies such as : 1. NLP 2. Speech Analytics 3. Predictive and Descriptive Data Analytics 4. Cloud Services - AWS, Azure

Focussed on building next generation risk management capabilities with specific focus on Machine Learning ,Deep Learning Algorithms and Robotic Automations.

Project 1: -Incorporated a model which to interpreate user behaviour and there mindset while opting for a house,and tries to find relationship in them -Mapped user activity over MongoDb and project description over MySQL to predict the probablity of a project of being likely to be selected by a user. -Intefaces used:-Python,MySQL,MongoDB -Models used :-Random forests,Ada Boost Project 2: -Creating a free text search which takes on speech or textual input from a user and interpolates information out of the text using text analytics -Created parsed trees,dependancy trees to find relationship between words and created rules based on human behaviour to extract releavent information out of the text -Created queries which would handle special instances and automatically fetch results from the MySQL database -technologies used- NLP,MySQL

Sentimental analysis -Used Machine Learning and Artificial Intelligence techniques to train a computer human language and make a binary prediction on the sentiment of a paragraph. -Processed the text with TextCleaning techniques to create 3 models using bag of words, word2vec which helped in better learning of the phrases and also helped in tackling problems like negation. -platform used-Python -techniques used:NLP, Naive Bayes, SVM, K means Clustering,Word2Vec,Doc2Vec link-https://github.com/divapriya/SentimentAnalysis

Data Extraction using NLP techniques Created an automated model in Python which extracts data such as name,address,qualification details etc automatically from CVs and transforms them to the database. platform used- Python, MySQL techniques used- NLP link-https://github.com/divapriya/Language_Processing

-Worked on database and written queries for extracting employee performance information -Created analysis and reports on the performance of the employees and overall impact on the company and predicted changes which can increase the overall productivity of the company -Worked on Toad, Oracle database