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Hi there! I'm Yen, a Data Scientist with a PhD in Actuarial Mathematics from Heriot-Watt University and over a decade of experience transforming complex data into actionable insights. I specialize in Machine Learning, Generative AI, and API development, with hands-on expertise in Python, SQL and cloud platforms like GCP and AWS. My experience spans a wide range of projects, from building predictive models and AI-powered tools to creating automated dashboards and designing scalable data infrastructures. Let’s collaborate to unlock the potential of your data and transform it into impactful results!

Most businesses are sitting on valuable data they never actually use. I help turn that data into predictive models, intelligent systems, and decisions that improve revenue, reduce risk, optimize operations, and uncover new opportunities. From customer churn and demand forecasting to revenue analytics, financial forecasting, anomaly detection, and AI automation, I build data science solutions that solve real business problems. I focus on outcomes, not just models. Every solution is designed to fit into your existing workflow and deliver insights your team can act on immediately. 100% Job Success Score. Top Rated on Upwork. 5-star reviews across every completed engagement. If your business is generating data, there's probably an opportunity hidden in it. Let's find it.

Hi! I’m a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁 with 6+ years of experience helping companies turn raw data into clear predictions, insights, and measurable results. I work across 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝘀𝗽𝗼𝗿𝘁𝘀 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 (𝗡𝗕𝗔 & 𝗡𝗙𝗟), 𝗮𝗻𝗱 𝘀𝗼𝗰𝗶𝗮𝗹 𝗶𝗺𝗽𝗮𝗰𝘁, delivering models that actually perform in the real world. 𝗔 𝗿𝗲𝗰𝗲𝗻𝘁 𝗰𝗹𝗶𝗲𝗻𝘁 𝘀𝗮𝗶𝗱 𝗶𝘁 𝗯𝗲𝘀𝘁: ⭐⭐⭐⭐⭐ “I've worked with Ahmed on a number of projects and he continues to do an excellent job. The project was completed successfully and another one is already being started. He is a great freelancer to work with” 🚀 𝗪𝗵𝗮𝘁 𝗜 𝗛𝗲𝗹𝗽 𝗪𝗶𝘁𝗵 • Predictive modeling & forecasting • Sports analytics (NBA/NFL DFS) • NLP & text classification • Clustering, segmentation & ML pipelines • Data analytics & dashboarding I focus on solutions that are practical, accurate, and actionable - not academic experiments. 📊 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗧𝗵𝗮𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 • Built forecasting models with 85%+ accuracy • Increased sales by 50% through smarter data pipelines • Saved $150,000/year with simulation-based optimization • Automated processes that cut payment cycles from 90 to 30 days I’ve also worked with UNDP, Save the Children, and Omdena, applying ML to global connectivity, solar adoption, and online child safety. 🤝 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 • Fast, reliable communication • Business-minded problem solving • Models that deliver real impact • A versatile skillset across industries 🛠 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Python • SQL • Pandas • NumPy • Scikit-Learn • TensorFlow • NLP • BigQuery • Looker Studio • Google Cloud • Tableau • ML pipelines • Forecasting • Clustering • CV models. 📞 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝘂𝗻𝗹𝗼𝗰𝗸 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮? Send me a message - I’d love to help you turn your dataset into something valuable.

I hold a first degree and Ph.D in bioinformatics field. As an accomplished bioinformaticist with over many years of experience in the field of bioinformatics research. I have a proven record in publication and published 31 high impact papers. I have great skills in a variety of bioinformatics analysis such as transcriptome, single cell RNA, whole genome, exon, metagenomics, GWAS and bacterial genome analysis. I am also able to create a pipeline with the programming language like Python, Perl and R. I also have high performance workstation and server to run the Bioinformatic analysis. I am also familiar with Mathematic and statistic analysis as I am currently also a Mathematic and statistic lecturer at University level. Math topics like algebra, calculus, probability and trigonometry are the usual topic I teach in University. I also have experience in using Statistic software like SPSS, Excel, Python and R. I also know about Machine learning topics such as (clustering, SVM and other algorithms) Below is the list of the Bioinformatic analysis I am familiar with: • Next-generation sequencing analysis (RNA-seq, Whole-genome sequencing and Exome sequencing) • Bacterial genome analysis • Genome assembly and annotation • Metagenomics analysis • Comparative genomic analysis • Comparative pathogenomics analysis • Phylogenetic analysis • Pan-genome analysis • Transmission network analysis • Familiar with few programming languages such as Perl, Python, Java • Capable to develop a bioinformatics pipeline • Differential gene expression analysis • GWAS • SNP variant analysis • ANI, AAI and GGDC analysis Familiar Statistics Software: • SPSS • R (Rstudio) • Python (Jupyter notebook) • Excel Familiar Bioinformatics Software: Genome assembly softwares: • CLC Genomics Workbench • SPAdes Genome Assembler • Assembly By Short Sequences (ABySS) • Velvet assembler • SOAPdenovo • SSPACE • MaSuRCA • Unicycler Genome mapping, alignment and processing tools: • Bowtie/Bowtie2 • Burrows-Wheeler Aligner (BWA) • MUMmer (NUCmer and PROmer) • SAMtools • BAMtools • Picard tools • ClustalW • BLAST • HISAT2 Genome annotation software: • Rapid Annotation using Subsystem Technology (RAST) • DAVID Functional Annotation • GeneMark • Blast2GO Metagenomics analysis tools: • MEtaGenome ANalyzer (MEGAN5) • DIAMOND • QIIME2 QIIME2R Phylogenetic tree analysis tools: • Molecular Evolutionary Genetics Analysis (MEGA) • Fasttree RNA-sequencing: • Cufflinks • Trinity • EdgeR • DESeq2 Single Cell - RNA analysis • Seurat Exome-sequencing: • ANNOVAR • SnpEff and SnpSift • GATK Other genomic analysis tools: • Pan-Genome Analysis Pipeline (PGAP) • PGAweb • IslandViewer • PHAge Search Tools (PHAST) • BadiRate • Circos • DNAPlotter

Helping people to make sense of data is my personal mission, which involves advocating a data-driven culture. As a Data Scientist, I have nearly 10 years of experience in extracting, cleansing/wrangling data, conducting Exploratory Data Analysis (EDA), building Machine Learning and Deep Learning models, and presenting insights to stakeholders through effective data visualization. Completed projects include building Machine Learning models to predict housing prices, detect financial criminal activity, assign sentiment scores in financial report and perform customer segmentation.

Hey, I'm Kish !! I am a AI engineer with extensive years of experience working with cutting-edge 𝐎𝐩𝐞𝐧𝐀𝐈 technologies. My expertise encompasses 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 and market-leading models like 𝐆𝐏𝐓-𝟒, 𝐆𝐏𝐓-𝟑.𝟓-𝐭𝐮𝐫𝐛𝐨, 𝐞𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥𝐬, as well as 𝐖𝐡𝐢𝐬𝐩𝐞𝐫𝐀𝐈 for speech-to-text functionalities. I am fully prepared to help you revolutionize your business needs using these state-of-the-art AI models. My approach focuses not only on deploying effective solutions, but also on ensuring cost-efficiency. 𝐈 𝐡𝐚𝐯𝐞 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧: 1) Full fledged custom knowledge Chatbot 2) AI automated JSON or any specific format completion tasks 3) Sentiment analysis 4) Recommender engine 5) Text/Content generation tasks 6) Open source LLM integrations 𝐁𝐚𝐜𝐤 𝐄𝐧𝐝: - FastAPI - Flask - Langchain - HuggingFace - Docker 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: - AWS - GCP - Digital Ocean 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: - ChromaDB - Pinecone - Weaviate 𝐅𝐫𝐨𝐧𝐭 𝐄𝐧𝐝: - ReactJS - NextJS