About

Farhan Mallick is an Associate Consultant with a passion for data science and a unique blend of software engineering, machine learning, and business analysis expertise. With over 3.86 years of relevant experience, Farhan has developed a strong skill set in programming, big data tools and frameworks, VCS, DevOps, statistics, and machine learning. Farhan is proficient in programming languages such as Python (Numpy, Pandas, NLTK, Spacy, Keras, SKLearn, Matplotlib), SQL, Tableau, R, and Advanced Excel (Pivot Tables, StatTools). He is also well-versed in big data tools and frameworks such as PySpark, Hadoop, and AWS, as well as VCS and DevOps tools such as PyCharm and Git. Farhan's expertise in statistics includes inferential statistics, experimental design, hypothesis testing (A/B Testing), and regression analysis. He is also skilled in machine learning techniques such as regression modeling, random forest, XGBoost, kNN classifier, k-means clustering, feature extraction (PCA, factor analysis), and natural language processing (text analytics - PII, PHI extraction), convolutional neural network. Farhan has worked with Capgemini as an Analyst/Software Developer and is currently serving as an Associate Consultant. He has also worked with Eta Engineering Private Limited as a Graduate Engineering Trainee. Farhan holds a Bachelor's degree in Electrical and Electronics Engineering from the University of Mumbai. Farhan's tech stack includes test, ML, SQL, AWS, XGBoost, random forest, Keras, NLP, Scikit, big data, Python, data scientist, Pandas, neural networks, Hadoop, DevOps, and software engineer. With his strong analytical skills and expertise in data science, Farhan is a valuable asset to any organization.