Data Analyst, Data Scientist

ANKITA BOSE

**/**, ******* ******** ****, Shibpur, Howrah, PIN 711102, West Bengal.

Contact : +91-900*******, +91-629*******

Email : *****************@*****.***, **********@*****.*** LinkedIn a/c : linkedin.com/in/ankita-bose-85b795168 Overview To obtain an entry-level job position in a reputed organization that provides ample opportunities to learn new things, to utilize my true potential, analytical & technical skills and to achieve organizational goal as well as individual growth.

Education

Master of Science

Department of Statistics, University of Kalyani

SEMESTER 1 : 73.5% (SGPA = 8.13)

SEMESTER 2 : 81.75% (SGPA = 8.88)

[Aug 2018 – Present]

Bachelor of Science

[Jun 2015 – May 2018]

Department of Statistics, Vivekananda College, Thakurpukur (Affiliated to University of Calcutta) Aggregate: 58.8% (Total)

Higher Secondary Certificate (10+2)

Bengal Engineering College Model School, WBCHSE

Aggregate: 82%

[May 2015]

Secondary School Certificate (10)

Shibpur Hindu Girls’ High School, WBBSE

Aggregate: 86%

Work Experience

0

[May 2013]

o Part Time Statistics Teacher at Howrah Vivekananda Institution [Jul 2019 – Current] o Subject Matter Expert in Statistics(Part-Time) in Chegg India Pvt. Ltd. [Jan 2020 – Current] o Data Entry Operator in Bozon Technologies Pvt. Ltd. posted at West Bengal State Electricity Distribution Company Limited (WBSEDCL) in Pension Cell.

- Sent completed entries to Manager for evaluation and final approval in time.

- Kept optimal quality levels to prevent critical errors, corrected any data entry error to prevent later issues such as duplication or data degradation and support team performance targets.

- Recorded and filed numerical and alphabetical data as employee benefit, salary, annual evaluation and pension information with speed 40 wpm and accuracy 98% while maintaining strict confidentiality to protect sensitive data.

Accomplishments 1. Swami Vivekananda Merit cum Means Scholarship [2013 – 2020] 2. 2nd Rank Holder among M.Sc. 2-Years students in Semester 2, M.Sc. Statistic Skills Research skills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . o Data Analysis: Data Preparation (Cleansing, transformation, handling outliers) and Analyze the data using statistical tools (Descriptive and Predictive Analytics). o Machine Learning: A basic knowledge of Data Science and Machine Learning, Regression Analysis, Principal Component Analysis, Factor Analysis, Cluster Analysis, Logistic Regression, k - nn Classification, Decision Tree.

Technical skills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . o Operating Systems: Windows.

o Scientific Software / Programming Language: C (Basic level), R, R Studio, MS Office (Excel, Word, Power Point), MINITAB, C++, Oracle Database, SQL (beginner), Python (beginner), Weka (beginner), MATLAB (beginner).

o Typing rate 40 wpm with 98% accuracy.

Projects

Project Title : Prediction of House Price in King County, USA - Using Multiple Linear Regression ::

Project Timing : (April, 2020)

Technologies used : Multiple Linear Regression, R programming Processes used : Univariate and Bivariate Analysis, Missing Value Treatment, Outlier Detection and Remedies, Different Model Buildings, Model Assumption Check and Remedies, Variable Transformations, Forward Selection and Backward Elimination, Best Model Selection, Model Adequacy Check, Building Main Model to predict House Price with minimum RMSE, MAPE etc.

Project Title : HR Analytics - Analysis of Employee Attrition in a Company - Using Logistic Regression and few Other Classification Techniques :: Project Timing : (May,2020 – Present)

Certifications 1. Certificate of completion of Data Science using R by StepUp Analytics. 2. Certificate of completion of 21 days Summer Training Course on "Data Science" at University of Kalyani. 3. Certificate of participation of Workshop on “Data Science : Decoding the Black Box” at University of Calcutta. 4. Certificate of participation of Workshop on “Topics in Advanced Econometrics: Theory and Practical Guidance” at Presidency University, Kolkata.

5. Certificate of participation of National Workshop on "Statistics and its Application" at Presidency University, Kolkata.

6. Certificates up to 2nd Year on Classical Music & Najrulgeeti. Conferences 1. The Bicentennial Celebration of Presidency, Presidency University, Kolkata, India. 2. Application of Statistics, Vivekananda College, Kolkata. 3. Education USA University Fair, 2019, The Park Hotel, Kolkata. 4. Indian International Science Festival, 2019, Science City, Kolkata. Strengths, Interests and extra-curricular activity o Quick learner, Task Management in Time, Curious, Creative Thinking & Working, Honest, Disciplined, High Dedication Level, Hard Working.

o Teaching, Net surfing and Researching, Drawing, Singing, Listening to Music, Watching Movies, Gardening, Travelling.

Contact this candidate