21 years experienced in different verticals like education and Training in software industry Post Graduate Diploma in Data Science , Masters in Statistics and armed with a passion to solve real-world business challenges using data analytics. Proficient in deploying complex machine learning and statistical modelling algorithms/techniques for identifying patterns and extracting valuable insights. solutions.


TECHNICAL SKILLS

Languages & Frameworks: Python, C, C++,Advanced SQL
Packages: Scikit-Learn, NumPy, SciPy, Plot.py, Pandas , Stats Models
Statistics: Statistical Inference, Hypothesis Testing , Statistical Techniques
ML: Linear/Logistic Regression, Clustering, PCA, Tree Models, SVM
Data Visualization Tools: Tableau
Big Data Analytics : Hadoop , Hive, Apache Spark

KEY SKILLS
• Data Analysis • Leadership & Training • Data Visualization • Predictive Modelling


EDUCATION

? Post Graduate Diploma in Data Science | IIIT Bangalore & UpGrad | Dec ’18 – Dec ‘19
? M.Sc - Statistics | Osmania University, Hyderabad| Jul ’17 – July ‘19
? Post Graduate Diploma in Applied Statistics | IGNOU –New Delhi|june’16 – Dec’17


KEY DATA SCIENCE PROJECTS & CASE STUDIES
Domain : Research | Tech Stack: SPSS 26 | May ' July ‘2020
? Objective : To do statistical analysis on the impact of COVID 19 on Online Education for 14 different countries.
? Solution : Analysed for which level of education people having high Stress Level versus different factors of the life like no of classes, no of exams, satisfaction of grades , satisfaction of the parents expectations etc.
? Key Achievement: Analysed correlation between different factors to the above mentioned requirement.
Domain: Retail | Tech Stack: Python, Jupyter Notebook | April '2020
? Objective : To develop a model which counts the no of people of their entrance and exit in the mall.
? Solution : Designed Resnet single shot detector model to do the people headcount
? Key Achievement: Developed a model to the above mentioned requirement.
Domain: Healthcare |Tech Stack: Python , Jupyter Notebook |Feb’2020
? Objective : To develop a model and explain its performance to predict the malignant tumors
? Solution : An analysis is provided for the identification of factors that contributed to malignant vs benign tumor
? Key Achievement : Developed a model with AUC score of 0.96
Domain: NYC parking Tickets | Tech Stack: Pyspark, Jupyter Notebook | Sep'19
? Objective To gain familiarity with how analysis works in PySpark as opposed to base Python.
? Solution: An analysis is provided for the findings from the various frequencies obtained in the tasks. Parking violations are analysed across different times of the day. Parking violations are analysed across different seasons of the year.
? Key Achievement: Results are provided to the above mentioned queries
Domain: Telecom Churn | Tech Stack: Python, Jupyter Notebook | Aug '19
? Objective To reduce customer churn, telecom companies need to predict which customers are at high risk of churn and to predict the churn in the last (i.e. the ninth) month using the data (features) from the first three months.
? Solution: Designed a machine learning model via logistic regression to predict the customer churn rate
? Key Achievement: Developed a model with an AUC score of 0.82
Domain: Pattern Recognition | Tech Stack: Python, Jupyter Notebook | Jul '19
? Objective: To develop a model using Support Vector Machine which should correctly classify the handwritten digits from 0-9 based on the pixel values given as features
? Solution: Designed SVM model - hyperparameter tuning, model evaluation etc.to classify handwritten digits
? Key Achievement: Developed a model with an AUC score of 0.92




PROFESSIONAL EXPERIENCE
Freelancer in Data Science Jan’19 – to till Date
Kolabtree , Upwork and Teacher On
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