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  1. Post Count Number #1
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    www.icteas.com ICRA Techno Analytics Ltd Kolkata : Analyst

    ICRA Techno Analytics Limited Kolkata : Analyst

    Website: http://www.icteas.com

    Keywords: Stats, analyst

    Designation: Analyst
    Experience: 2 - 3 Years
    Location: Kolkata
    Education:
    UG - B.Sc - Maths, Statistics
    PG - M.Sc - Maths, Statistics
    Industry Type: IT-Software/ Software Services
    Functional Area: Healthcare, Medical, R&D
    Posted Date: 05 Feb

    Job Description:
    M.Sc Statistics/Mathematics candidates with 2-3 yrs of Industry expn in Business & Statistical Analysis in various verticals. Must possess consistent good academics with 75% or more marks in X & XII standards. .Job location is Kolkata.

    Desired Candidate Profile:
    Proficient in Business and Statistical Analysis in various verticals. Application of statistical techniques for conceptualizing and framing business solutions & building enterprise applications. Must possess Knowledge of statistical module of SAS

    Company Profile:
    We are ISO 27001 Ceritifed Group Company. We are into IT -services & products & Engineering Consultancy. As an equal opportunity employer, we offer challenging work environment with multiple growth opportunities for all.

    Address: Not Mentioned

    Email Address: suparna.ghosh@icteas.com

    Telephone: Not Mentioned

    Keywords: Stats, analyst
    Last edited by Guest-IJT; May 16th, 2011 at 10:19 AM.

  2. Post Count Number #2
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    CURRICULUM VITAE
    Name : Madhu Bala Bhardwaj

    E mail Id : madhuhawt@gmail.com

    EDUCATIONAL QUALIFICATION
    Name of the examination Board/University Year of passing Percentage
    BPT IV year GGSIP Univ. 2010 79.133%
    BPT III year GGSIP Univ. 2009 77%
    BPT II year GGSIP Univ. 2008 71.22%
    BPT I year GGSIP Univ. 2007 66.5%
    Senior Secondary CBSE 2005 71.6%
    Secondary CBSE 2003 71%
    :




    Clinical Experience:
    1. Guru Gobind Singh Hospital, Raghubir Nagar (1 month)
    2. Delhi Council of Children Welfare (Special school), Janakpuri (1 month)
    3. Rajan Babu TB Hospital, Kingsway Camp (1 month)
    4. Institute of Human Behavior And Allied Sciences, Shahdra (1 month)
    5. Bhagwaan Mahavir Hospital, Rani bagh (1 month)
    6. DIRD College Clinic, Holambi Khurd (2 month)
    7. The Leprosy Mission Hospital, Shahdra (1 month)

    Conferences & workshops Attended:
    1. 3rd national pediatric habilitation workshop on Advances in pediatric orthopedic surgery. Role of traditional surgery, OSSCS and SEMINARS in the management of Cereberal Palsy. Spina bifida & Arthrosyropsis.
    2. Advances in Rheumatology
    3. Management of leprosy & its complications
    4. Workshop in various taping techniques, nerve stretches and spiral therapy.
    Project Work:
    Wheelchair Transfers In Spinal Cord Injury

    Training
    Internship From ESI Model Hospital, Basai Darapur, New Delhi-15

  3. Post Count Number #3
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    hello sir,
    This is sumit jalhotra from jalandhar,punjab. i have done B.P.T from D.A.V Institute of physiotherapy and rehabilitation,jalandhar in 2009. Right now i m working at gupta nursing home as a physiotherapist for the last one year. I would like to be a part of your trust and pay my services over there.

    email: magosunny13@yahoo.com
    ph:

    thanks

  4. Post Count Number #4
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    cv of swati banerjee

    SWATI BANERJEE
    E-Mail : swati.banerjee008 AT gmail.com
    Seeking assignments in the field of Statistical Analyst/ SAS analytics/ analyst position with an organization of repute
    SYNOPSIS
    - A competent individual with a degree of M.Sc. in Statistics from Kalyani University, West Bengal.
    - Possesses knowledge and understanding of subject like Statistics.
    - A keen analyst, highly skilled in implementing strategies to exploit business opportunities with sound understanding of business / analytical tools.
    - Well acquainted with SAS 9.1, SAS 9.0 and SAS Enterprise Guide 4.1.
    - Possesses in depth knowledge in Base SAS, SAS/Macro, SAS/ODS, SAS/Graph, SAS/SQL SAS / Access, SAS/STAT.
    Working Profile
    Research Analyst (DEC”2011 - present) : CMARC PVT INDIA (pioneer in pharmaceutical Research & consultancy)
    - Trend Analysis,Future Forecasting, company plans and performance reporting for corporate clients.
    - Future market forecasting with Regression, Time series.
    - Preparing Business strategy, Performance analysis, Quarterly comparison ( cognos power play).
    - Fundamental market share with shift analysis &power brand preparation across country basis.
    - Information, researched data models and power point presentation for client.
    EDUCATION
    - M.Sc. in Statistics from Kalyani University, West Bengal in 2010.
    - B.Sc. (Statistics Hons) from Calcutta University, West Bengal in 2007.
    STATISTICAL SKILLS
    Proficient with Testing of Hypothesis (Z-test, T-test, F-test), Distributions (Binomial, Poission, Normal, Bivariate normal etc), Descriptive statistics, Regression, logistic regression, Correlation, Analysis of Variance (One-way model, Two-way model, Regression model classification), Estimation, Sample survey, Design of experiment (CRD,RBD,LSD,BIBD), Econometrics, Time series, Multivariate analysis (Factor analysis, Cluster analysis).
    TECHNICAL SKILLS
    Operating System Windows XP
    SAS Skills Base SAS, SAS/MACRO, SAS/SQL, SAS/STAT, SAS/GRAPH, SAS/ODS, SAS/Access
    SAS Procedures proc steps---Print, Transpose, Contents, Means, Chart, Plot, Tabulate, Univariate, Summary, Sort, Append, Copy, freq. report.

    Data steps— Format, Informat, Merge, Date function, Text
    function, Numeric function, Do loop, SAS array.
    Statistical techniques (Binomial, Poisson, Normal, different
    tests, Chi square test, Correlation regression, Logistic regression,
    Cluster analysis, Factor analysis) used in SAS steps.
    SOFTWARE
    - Proficient with MS- Office, Excel ( graph,freeze paain, filtering, text), Function(upper,tower,proper,trim,concatenate),Numeric function( sum, round) ,
    - (V-look up).
    - Minitab, C –programming, Eveiws and statistical package–R.
    CERTIFICATION
    - Certified from G&K Analytics Training Institute, Kolkata With 78% score in Base SAS and Advanced analytics.
    Special papers in MSC (Statistics)
    - Financial Econometrics.
    - Advanced Time series.
    - Advanced Multivariate.
    - Advanced Design of experiment.
    - Sample survey.
    ACADEMIC PROJECTS
    Title Advanced Design of Experiment (Construction of Balanced Block Design)

    Period Mar’10-Jun’10
    Description Generally it is known that BIBD (Balanced Incomplete Block Design)
    is a binary design (each treatment occurs one Or two times in each
    Block of this design) and BIBD is BBD (Balanced Block Design).
    Under this Study our aim is to construct the BBD (balanced block design)
    Where each treatment occurs one or two times in each block of this design
    and to construct new balanced block design also to satisfy A- Optimality,
    D- Optimality and E- Optimality.
    DECLARATION
    I solemnly declare that all the information furnished above is factually correct and true to the best of my knowledge and brief. I accept that an appointment given to me on this basis can be revoked and/or terminated at any time in future if any information has been misstated or unstated.
    Date :
    17.4.2012
    Place : Madhyamgram, N-24 pgs
    Regards

  5. Post Count Number #5
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    CV

    Anirban Das
    Email : anirbandas286 AT gmail.com
    .
    OBJECTIVE :
    To obtain a job focusing in analytics.
    COMPETENCIES :
    - Strong analytical and problem solving skill
    - SAS BASE
    - SAS ADVANCED
    - DATA ANALYTICS and SAS 9
    EDUCATION :
    - I.S.C. from Better High School, 2006
    - B.Sc in Economics from Calcutta University, 2009
    - Post graduation in Economics from Rabindra Bharati University, 2011
    PROFESSIONAL TRAINING :
    - SAS Analytics VBA Certification from Orange Tree Global
    PROJECT AND CASE STUDIES :
    Project on Credit Risk Modeling at OrangeTree Global
    Worked on a project related to Financial Markets wherein I had to examine the trust worthiness of a prospective customer and his/her possibility of defaulting on loan.
    - The task was to build a Behavioural Credit Risk Model based on a large sample of data by applying Logistic Regression on the SAS platform.
    - The data had various information related to behaviour transactional details of the customers and their performance in repayment.
    - There were number of validation checks which were performed to test the robustness of the model under taken in terms of various goodness – of – fit statistics.
    - There were number of goodness of fit statistics which we had considered like Percent Concordant, Hosmer – Lemeshow test, Wald – chi square and score tests.
    Project on Time series Forecasting base on Airline data at OrangeTree Global
    Worked on a project on Demand Forecasting for an Airline based on past data sets on number of passengers.
    - There was a rigorous check for non – stationarity in the data and the methodology involved the removal of non – stationarity for the data by taking some suitable mathematical transformation.
    - It involved methodologies like ARMA and ARIMA to come to a series of forecasted figures of the future time period using SAS.
    - We conducted ADF test to check for the stationarity and presence of Unit root in the data.
    - For the order of ARMA and ARIMA we have considered the ACF and PACF plots.
    Project on Customer Satisfaction Survey at OrangeTree Global
    Worked on a project related to retail domain based on Customer Satisfaction Survey where the objective was to find out the key factors influencing the overall customer satisfaction using OLS Regression.
    - There were some rigorous checks in terms of data hygiene check, basic exploratory analysis on the data was performed to get better understanding of the data and the model that can be used on the data to solve the business problem.
    - There were number of validation checks which were preformed to test the robustness of the model under taken in terms of various goodness – of – fit statistics.
    - We looked into Adjusted R square, F statistics, and VIF values for goodness of the model and for selecting the optimum number of variable to be considered.
    - The result got from the training set was then applied on the validation or hold out set to check the robustness of the model.

    EXTRA CURRICULAR ACTIVITIES AND HOBBIES
    Playing chess. I am also a chess trainer in an institute.

    ANIRBAN DAS