Overview
Work History
Education
Skills
Personal Information
Project
Timeline
Generic
Ankita Samaddar

Ankita Samaddar

Kolkata

Overview

2
2
years of professional experience

Work History

Intern

Algorics
09.2023 - 03.2024
  • P>To work in a company which promotes my overall development regarding my professional career. To play a good role in team and provide my best to the work assigned.
  • Completed Clinical Data Analytics Training at "The Whiteboard" from June 2021 to till date. Modules Completed: Base and Advance SAS
  • Imported data from different sources in different formats such as Excel, CSV, and database file.
  • Generated tables, listings, and graphs using PROC REPORT.
  • Good knowledge of statistical procedures like Proc Means, Proc Freq, Proc Tabulate, etc.
  • Knowledge of SAS macro and SQL.
  • Produced SAS outputs in RTF, PDF, CSV, and HTML formats using the Output Delivery System (ODS) facility.
  • Strong knowledge on the phases (I - IV) of clinical trials.
  • Professional experience in using SAS functions, SAS options and producing SAS reports.
  • Professional experience in merging datasets, converting XPT Files to SAS and vice versa.
  • Good knowledge of Creating Macro Variables, Macro Definitions and using Macro debugging options.
  • Creating, altering a table by Proc SQL and SAS graphs. Case Studies
  • CCS001 : Listing of demographic data
  • CCS002 : Outliers creation from raw data
  • CCS003 : Eligibility criteria and create inclusive criteria, exclusion criteria and Disposition patient's profile
  • CCS004 : Generate a Demographics table
  • CCS005 : To screen healthy volunteers for clinical trials
  • CCS006 : Analysis dataset creation of SL (Subject Level)
  • CCS007 : Shift table
  • CCS008 : Generate summary reports of treatment reports by using procedure Tabulate
  • CCS009 : Incidence of Treatment Emergent Adverse Events by System Organ Class (SOC) and Preferred Term (PT)
  • CCS010 : Generate Vertical Graph Clinical Domain Overview

Research Analyst

Research Monkey
09.2023 - 02.2024
  • Worked on statistics and data science projects utilizing software such as Minitab, SPSS, and Stata.
  • Developed predictive models utilizing Python and R programming languages.

Part-time Data Analyst

Upwork
07.2022 - 08.2023
  • Analyzed large datasets to identify trends, patterns and correlations for business insights.
  • Developed dashboards with Tableau to monitor key performance indicators.
  • Created predictive models to forecast customer behavior.

Education

CBSE+2 -

JLN MEMO SR SEC SCHOOL, Dhanbad
01.2014

ICSE -

Mansur Habibullah Memorial School, Kolkata
01.2012

Graduation (Statistics Honours) -

Calcutta University, Kolkata

M.Sc (Statistics) -

Utkal University, Bhubaneswar

Skills

  • Good Communication
  • Event Management Skills
  • Teamwork
  • Quick Learner
  • Pro-active
  • Hardworking
  • Self-motivated
  • MS Office
  • Proficiency in MS Word
  • Excel and PowerPoint
  • Python
  • R
  • SQL
  • Minitab
  • Power BI
  • SPSS

Personal Information

  • Father's Name: Gunendra Samaddar
  • Date of Birth: 06/19/1995
  • Nationality: Indian
  • Marital Status: Single

Project

Applied Modelling and Visualization

  • Conducted a research study on a dataset consisting of variables related to trips of A2B cabs to design a predictive model to classify completed trips from incomplete trips.
  • Explored variables in the dataset and created new variables using existing variables such as the latitude and longitude of the pick-up point and the destination distance calculated, and a flag variable indicating if the zip code of the pick-up and drop destination is the same.
  • Determined the feature importance using various models such as Random Forest, Decision Tree, and XGBoost to select the most relevant variables for the predictive model.
  • Developed a predictive model using the independent variables from the training dataset to predict the dependent variable.
  • Visualized the results of the predictive model using various data visualization tools, including Matplotlib and Seaborn, to provide insights into the factors affecting trip completion.
  • Conducted a thorough evaluation of the predictive model's performance using various metrics such as accuracy, precision, recall, and F1 score. Explored alternative modeling techniques, including logistic regression and support vector machines, to compare the performance of different models and select the best model for the given dataset.

Timeline

Intern

Algorics
09.2023 - 03.2024

Research Analyst

Research Monkey
09.2023 - 02.2024

Part-time Data Analyst

Upwork
07.2022 - 08.2023

CBSE+2 -

JLN MEMO SR SEC SCHOOL, Dhanbad

ICSE -

Mansur Habibullah Memorial School, Kolkata

Graduation (Statistics Honours) -

Calcutta University, Kolkata

M.Sc (Statistics) -

Utkal University, Bhubaneswar
Ankita Samaddar