mohamed kholti

- Marketing Mix Modeling (MMM) Project management - Data science transformation(DST) : Help clients build their data roadmap - NLP Research & Development Skills: Project management, Excel, Python, Pytorch, NLP, Problem analysis & solving

- Built a machine learning product that Helps clients optimize their house’s gas consumption - Features’ definition, features’ framing and validation with management - Data sources: connected objects (thermostat and gas meter) - Wrote a time series data preprocessing pipeline - Developed time series forecasting algorithms - Deployed the solution on AWS cloud - Data quality and model performance monitoring - 𝐓𝐞𝐜𝐡𝐬 𝐮𝐬𝐞𝐝: 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐆𝐢𝐭, 𝐀𝐖𝐒, 𝐂3 𝐈𝐎𝐓

- Built an 𝐍𝐋𝐏 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 on life insurance clauses data to automatically extract Beneficiaries informations from unstructured text - Trained a 𝐍𝐚𝐦𝐞𝐝 𝐄𝐧𝐭𝐢𝐭𝐲 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 (𝐍𝐄𝐑) algorithm to automatically detect Beneficiaries related entities (names, place of birth, date of birth, addresses) - Wrote python scripts to create a machine learning pipeline that takes life insurances clauses text as inputs, does data preprocessing, apply the trained ML algorithm and inject the outputs into beneficiaries’ database - Wrote a bash script to automate the created ML pipeline - 𝐓𝐞𝐜𝐡𝐬 𝐮𝐬𝐞𝐝: 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐩𝐚𝐜𝐲, 𝐏𝐲𝐓𝐨𝐫𝐜𝐡, 𝐁𝐚𝐬𝐡

𝐒𝐞𝐧𝐭𝐢𝐦𝐞𝐧𝐭 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 - Built a sentiment analysis model to recognize clients’ sentiment in service comments and their unsatisfaction motif - Participated in data labeling - Worked in collaboration with data engineering team to deploy the model into production 𝐍𝐚𝐦𝐞𝐝 𝐄𝐧𝐭𝐢𝐭𝐲 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 - Built an entity recognition model in the context of a chatbot development 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐮𝐬𝐞𝐝: Python, Spacy, Apache Zeppelin, Keras, TensorFlow, PySpark, GitLab

Developed a tool to help non expert choose the adapted 𝐬𝐞𝐰𝐞𝐫 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 material for their 𝐥𝐲𝐢𝐧𝐠 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭: - Animated meeting with experts to understand the existing, manual process of material selection for a given environment - Definition of the list of materials and criteria of their selection - Developed a 𝐦𝐮𝐥𝐭𝐢-𝐜𝐫𝐢𝐭𝐞𝐫𝐢𝐚 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐔𝐈 𝐓𝐞𝐜𝐡 𝐮𝐬𝐞𝐝: - 𝘗𝘺𝘵𝘩𝘰𝘯 (𝘗𝘺𝘘𝘵, 𝘯𝘶𝘮𝘱𝘺) - 𝘘𝘵 𝘋𝘦𝘴𝘪𝘨𝘯𝘦𝘳 - 𝘚𝘘𝘓𝘪𝘵𝘦

𝐈𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 using 𝘚𝘈𝘗. • Daily stock inventory comparison on 𝘚𝘈𝘗 • Prepare weekly inventory report in 𝘌𝘹𝘤𝘦𝘭 𝐒𝐢𝐱 𝐒𝐢𝐠𝐦𝐚: write a report on the applications of six sigma in the production and order processes inside the production factory