About

Vishakha Deshmukh is an experienced Data Scientist with over 6 years of relevant experience in the field. Currently working as a Process Manager at eClerx, she has been successful in solving many complex analytic problems using her expertise in Data Science toolkits such as "R & Python". Her core competencies lie in the machine learning techniques and algorithms such as KNN, Naive Bayes, SVM, Decision Tree, Random Forest, Gradient Boosting, Regression Models, Clustering, Decision Trees, Time Series Techniques, and more. Vishakha has worked with many domains including Data Analytics, Machine Learning, Pattern Recognition, Statistics, Artificial Intelligence, Operations Research, and Big Data. She is an expert in Data visualization, Scripting in both Python and R, predictive modeling, Exploratory data analysis (Manipulation and Visualization), A/B testing (split testing), Metric and Method selection. Her strong hands-on experience in various analytic problems such as fraud detection, lead generation, and churn analysis has helped organizations make data-driven decisions. She has also worked on sentiment analysis & Topic Modelling and has a good knowledge of Markov chain & Latent Semantic Analysis. Vishakha has designed and implemented statistical/predictive models and utilized analytical applications to identify trends and relationships between different pieces of data, drawn appropriate conclusions, and translated analytical findings. She has an excellent understanding of shiny app and has influenced the strategic direction of the organization by identifying opportunities in large, rich data sets and created and implemented data-driven strategies that fuel growth including revenue & profit. Vishakha holds a Master of Science (M.Sc.) degree in Statistics from government holkar science college and a B.Sc. in Statistics from govt. holkar science college a.b. road, Indore. She is well-versed in various technologies such as Data Scientist, Research Scientist, Python, Sentiment Analysis, ML, NLP, Naive Bayes, SVM, Random Forest, Big Data, Azure, SQL, Flask, Reinforcement Learning, Databricks, Deep Learning, Neural Networks, and UI.